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via Workday
posted_at: 23 days agoschedule_type: Full-timework_from_home: 1
It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem... where human imagination is at the heart of every
It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem... where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Please visit Fractal | Intelligence for Imagination for more information about Fractal. **Please Note: This role is specifically located in the Bay Area of San Francisco. If you are not local, we provide paid weekly travel or relocation.** Role Overview As a Data Scientist specializing in Machine Learning at Fractal Analytics, you will play a pivotal role in shaping and driving our AI strategies. Your primary focus will be developing and implementing Machine Learning and statistical models that transform and elevate our client's business operations. Your responsibilities include: Collaborating with internal teams to understand complex business challenges and identify opportunities for AI-driven solutions. Designing, developing, evaluating, and deploying Machine Learning algorithms that turn data into actionable insights. Continuously research and stay abreast of the latest advancements in machine learning and AI to apply cutting-edge techniques in our solutions. Proactively working with large datasets, ensuring the integrity and effectiveness of data used in Machine Learning models. Engaging with clients to translate business needs into technical requirements and Machine Learning solutions. Leading initiatives to enhance our data analytics capabilities with a focus on predictive and prescriptive analytics through Machine Learning. Qualifications: Bachelor’s or master’s degree in computer science, Data Science, Statistics, Mathematics, or a related field with a strong emphasis on Machine Learning or Artificial Intelligence. Proficiency in Machine Learning algorithms and concepts such as linear regression analysis, anomaly detection, time series and forecasting, probabilistic models, supervised and unsupervised learning, neural networks, deep learning, etc. Experience with data modeling and evaluation strategies. OPP knowledge and strong programming skills in Python, especially libraries used in data science like TensorFlow, PyTorch, Keras, Scikit-learn, etc. Knowledge of data preprocessing, cleaning, and analysis techniques. Familiarity with big data technologies such as Hadoop, Spark, or similar platforms. At least 3-5 years of experience in a Machine Learning or data science role, with a proven track record of developing and deploying models that have driven business impact. Experience working with large and complex datasets. Prior exposure to cloud computing services like AWS, Azure, or Google Cloud Platform is advantageous. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: 115,000 to 185,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! At Fractal, towards our goal of “powering every human decision in the enterprise”, our partnerships and alliances help in creating and delivering a compelling suite of solutions to unlock value. We partner with companies from around the globe, leaders in their respective fields. With Fractal’s expertise in artificial intelligence, design, engineering, and digital transformation, combined with the data, technology, and software platforms from our partners, we create cutting-edge solutions to problems in the business world. We understand how critical and timely decision triggers, and information, empower our clients to create, unlock, deliver, and realize value. Together with our partners, our goal is to serve each client in their end-to-end data-to-decision journey
Show more details...
via Glassdoor
posted_at: 7 days agoschedule_type: Full-time and Part-timesalary: 117,962–153,354 a year
Duties
• Develops and maintains the scripts and processes required to extract, transform, review and move data and metadata through the Bureau of Justice Statistics (BJS) database of record.
• Explores new technologies and techniques to create efficient process around data extraction, loading, transformation, governance, and cataloguing...
• Serves as an advisor to Bureau statisticians in solving complex and far-reaching data management issues
Duties
• Develops and maintains the scripts and processes required to extract, transform, review and move data and metadata through the Bureau of Justice Statistics (BJS) database of record.
• Explores new technologies and techniques to create efficient process around data extraction, loading, transformation, governance, and cataloguing...
• Serves as an advisor to Bureau statisticians in solving complex and far-reaching data management issues and problems for a wide range of systems, applications and customers that use statistical methods and techniques.
• Leverages innovative project management methodologies (e.g., scaled Agile framework) to complete projects within a complex environment that requires coordination with multiple stakeholders across multiple organizations.
• Develops standard queries, reports and presentations that translate complex analytics concepts, findings and limitations into plain language for nontechnical audiences.
• Develops algorithms and tools to support data manipulation and processing as well as the use of data visualization techniques to articulate findings.
• Conducts planning, development, implementation, and administration of systems for the acquisition, storage, and retrieval of data.
• Ensures that product-related training and documentation are developed and made available to customers before related projects are completed.
• Analyzes feasibility studies, proposals and in-depth analyses of current requirements and forecast trends for future needs.
Requirements
Conditions of Employment
• U.S. Citizenship required.
• Subject to background/suitability investigation/determination.
• Federal payments are required to be made by Direct Deposit.
• Requires registration for the Selective Service. Visit www.sss.gov.
• Pre-employment drug testing required.
• 1-year probationary period may be required.
• Confidential Financial Disclosure may be required
• Security Requirements: Non-Sensitive/Moderate Risk
Qualifications
Basic Entry Requirements:
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
-OR-
Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
Specialized Experience:
Applicants must have one (1) year of specialized experience equivalent to at least the GS-12 level. Specialized experience is experience which is in or related to the line of work of the position to be filled and which has equipped the applicant with the specific knowledge, skills, and abilities to successfully perform the duties of the position.
Examples of specialized experience include:
• Documenting Extract Transform Load (ETL) data mappings, data dictionaries, processes, programs, and solutions per established data governance standards;
• Designing methods to develop and manage large, complex, structured and unstructured datasets;
• Identifying the methods, processes, algorithms, tools, and systems to extract and interpret findings from various structured and unstructured data sets related to the data lifecycle;
• Developing visualizations of data that can easily be comprehended and simplified for non-technical stakeholder audiences;
• Directing internal and external processing or system reviews, studies, projects and data validation efforts as a means to evaluate system performance and vulnerabilities.
Additional information on the qualification requirements is outlined in the OPM Qualification Standards Handbook of General Schedule Positions and is available at OPM's website: https://www.opm.gov/qualifications/standards/indexes/num-ndx.asp
All qualification requirements must be met by the closing date of this announcement.
Education
This position has a positive education requirement. Please see the Qualifications section for more information.
Additional information
• This position may be eligible for telework per agency policy.
• OJP offers opportunities for flexible work schedules.
• This position has a duty station of Washington, D.C. The selectee will be required to physically report to the OJP office building at least four (4) days per bi-weekly pay period and may incorporate leave and official travel plans into this reporting requirement. The office director or supervisor may request the selectee's presence in the office more frequently, as determined by the needs of the office. The selectee will be responsible for covering all commuting-related travel expenses. OJP employees are eligible for one transportation benefit - parking or the Department of Justice (DOJ) transit subsidy.
• Recruitment incentives may be authorized.
• This position is included in the bargaining unit.
• This vacancy announcement may be used to fill additional vacancies.
• Please do not indicate current or former position salary in your application or resume.
• As the federal agency whose mission is to ensure the fair and impartial administration of justice for all Americans, the Department of Justice is committed to fostering a diverse and inclusive work environment. To build and retain a workforce that reflects the diverse experiences and perspectives of the American people, we welcome applicants from the many communities, identities, races, ethnicities, backgrounds, abilities, religions, and cultures of the United States who share our commitment to public service.
• Benefits
A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.
How You Will Be Evaluated
You will be evaluated for this job based on how well you meet the qualifications above.
You will be evaluated for this job based on how well you meet the qualifications above.
Direct Hire applicants: Your resume and supporting documentation will be used to determine whether you meet the job qualifications listed on this announcement. Your resume must contain sufficiently detailed information upon which to make a qualification determination. Qualified candidates will be considered in accordance with the Office of Personnel Management Direct Hire guidelines. Veterans' Preference does not apply to direct hire recruitment procedures.
Interagency Career Transition Assistance Plan (ICTAP)/Career Transition Assistance Plan (CTAP): The ICTAP provides eligible displaced Federal competitive service employees with selection priority over other candidates for competitive service vacancies. The CTAP provides eligible surplus and displaced competitive service employees in the Department of Justice with selection priority over other candidates for competitive service vacancies. If your agency has notified you in writing that you are a displaced employee eligible for ICTAP consideration, or if your Department of Justice component has notified you in writing that you are a surplus or displaced employee eligible for CTAP consideration, you may receive selection priority if: 1) this vacancy is within your ICTAP/CTAP eligibility; 2) you apply under the instructions in this announcement; and 3) you are found well-qualified for this vacancy. To be well-qualified, applicants must possess experience that exceeds the minimum qualifications of the position including all selective factors if applicable and must be proficient in most of the requirements of the job. Information about ICTAP and CTAP eligibility is on OPM's Career Transition Resources website, which can be found at https://www.opm.gov
• Benefits
A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.
• Required Documents
As a new or existing federal employee, you and your family may have access to a range of benefits. Your benefits depend on the type of position you have - whether you're a permanent, part-time, temporary or an intermittent employee. You may be eligible for the following benefits, however, check with your agency to make sure you're eligible under their policies.
REMINDER: ALL DOCUMENTS MUST BE RECEIVED BY 11:59 Eastern Time (Washington, D.C. time) ON 07/08/2024 .
REQUIRED DOCUMENTS (ALL APPLICANTS):
1. Resume (To receive credit for experience, your employment history must be documented in month/year format (MM/YYYY), reflecting starting date and ending date and include the number of hours worked per week. Failure to follow this format may result in disqualification), and
2. Unofficial transcripts (official transcripts will be required if selected), and3. Responses to the online questionnaire.
Note: Incomplete applications will not be considered.
If you are claiming CTAP/ICTAP eligibility, you must submit proof by the closing date of the announcement that you meet the requirements of 5 CFR 330.605(u) for CTAP and 5 CFR 330.704 for ICTAP or you will not receive priority consideration. The proof includes a copy of the Agency notice, your most recent performance appraisal, and your most recent SF-50 Notification of Personnel Action for Competitive Appointment.
If you are relying on your education to meet qualification requirements:
Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education.
Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.
• How to Apply
To apply for this position, you must complete the online application and submit the supporting documentation specified in the Required Documents section above.
A complete application package, to include the responses to the online Assessment Questionnaire, must be submitted by 11:59 PM (EST) on 07/08/2024to receive consideration.
To begin, click Apply to access the online application. You will need to be logged into your USAJOBS account to apply. If you do not have a USAJOBS account, you will need to create one before beginning the application.
• Follow the prompts to select your résumé and/or other supporting documents to be included with your application package. You will have the opportunity to upload additional documents to include in your application before it is submitted. Your uploaded documents may take several hours to clear the virus scan process.
• After acknowledging you have reviewed your application package, complete the Include Personal Information section as you deem appropriate and click to continue with the application process.
• You will be taken to the online application which you must complete in order to apply for the position. Complete the online application, verify the required documentation is included with your application package, and submit the application.
To verify the status of your application, log into your USAJOBS account (https://my.usajobs.gov/Account/Login), all of your applications will appear on the Welcome screen. The Application Status will appear along with the date your application was last updated. For information on what each Application Status means, visit: https://www.usajobs.gov/Help/how-to/application/status/. If you need help with the application process, please see the USAJOBS Help Site .
If you are unable to apply online, please contact Abygail Sharrar-Armendariz at
abygail.sharrar-armendariz@usdoj.govor 202-702-9332 for alternate application procedures.
Agency contact information
Abygail Sharrar-Armendariz
Email
abygail.sharrar-armendariz@usdoj.gov
Address
Bureau of Justice Statistics
DO NOT MAIL
Washington, DC 20531
US
Next steps
Once your completed application is certified and received you will receive an acknowledgement email that your submission was successful. After a review of your complete application is made you will be notified of your status and/or referral to the hiring official. If further evaluation or interviews are required you will be contacted. After making a tentative job offer, we will conduct a suitability/security background investigation. We expect to make a final job offer within 80 days after the closing date of the announcement.
• Fair and Transparent
The Federal hiring process is set up to be fair and transparent. Please read the following guidance.
• Criminal history inquiries
• Equal Employment Opportunity (EEO) Policy
• Financial suitability
• New employee probationary period
• Privacy Act
• Reasonable accommodation policy
• Selective Service
• Signature and false statements
• Social security number request
Required Documents
REMINDER: ALL DOCUMENTS MUST BE RECEIVED BY 11:59 Eastern Time (Washington, D.C. time) ON 07/08/2024 .
REQUIRED DOCUMENTS (ALL APPLICANTS):
1. Resume (To receive credit for experience, your employment history must be documented in month/year format (MM/YYYY), reflecting starting date and ending date and include the number of hours worked per week. Failure to follow this format may result in disqualification), and
2. Unofficial transcripts (official transcripts will be required if selected), and3. Responses to the online questionnaire.
Note: Incomplete applications will not be considered.
If you are claiming CTAP/ICTAP eligibility, you must submit proof by the closing date of the announcement that you meet the requirements of 5 CFR 330.605(u) for CTAP and 5 CFR 330.704 for ICTAP or you will not receive priority consideration. The proof includes a copy of the Agency notice, your most recent performance appraisal, and your most recent SF-50 Notification of Personnel Action for Competitive Appointment.
If you are relying on your education to meet qualification requirements:
Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education.
Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.
Help
This job is open to
• Career transition (CTAP, ICTAP, RPL)
Federal employees who meet the definition of a "surplus" or "displaced" employee.
• The public
U.S. Citizens, Nationals or those who owe allegiance to the U.S.
Clarification from the agency
This position is being filled under the Direct Hire Authority. U. S. Citizenship required Show more details...
• Develops and maintains the scripts and processes required to extract, transform, review and move data and metadata through the Bureau of Justice Statistics (BJS) database of record.
• Explores new technologies and techniques to create efficient process around data extraction, loading, transformation, governance, and cataloguing...
• Serves as an advisor to Bureau statisticians in solving complex and far-reaching data management issues and problems for a wide range of systems, applications and customers that use statistical methods and techniques.
• Leverages innovative project management methodologies (e.g., scaled Agile framework) to complete projects within a complex environment that requires coordination with multiple stakeholders across multiple organizations.
• Develops standard queries, reports and presentations that translate complex analytics concepts, findings and limitations into plain language for nontechnical audiences.
• Develops algorithms and tools to support data manipulation and processing as well as the use of data visualization techniques to articulate findings.
• Conducts planning, development, implementation, and administration of systems for the acquisition, storage, and retrieval of data.
• Ensures that product-related training and documentation are developed and made available to customers before related projects are completed.
• Analyzes feasibility studies, proposals and in-depth analyses of current requirements and forecast trends for future needs.
Requirements
Conditions of Employment
• U.S. Citizenship required.
• Subject to background/suitability investigation/determination.
• Federal payments are required to be made by Direct Deposit.
• Requires registration for the Selective Service. Visit www.sss.gov.
• Pre-employment drug testing required.
• 1-year probationary period may be required.
• Confidential Financial Disclosure may be required
• Security Requirements: Non-Sensitive/Moderate Risk
Qualifications
Basic Entry Requirements:
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
-OR-
Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
Specialized Experience:
Applicants must have one (1) year of specialized experience equivalent to at least the GS-12 level. Specialized experience is experience which is in or related to the line of work of the position to be filled and which has equipped the applicant with the specific knowledge, skills, and abilities to successfully perform the duties of the position.
Examples of specialized experience include:
• Documenting Extract Transform Load (ETL) data mappings, data dictionaries, processes, programs, and solutions per established data governance standards;
• Designing methods to develop and manage large, complex, structured and unstructured datasets;
• Identifying the methods, processes, algorithms, tools, and systems to extract and interpret findings from various structured and unstructured data sets related to the data lifecycle;
• Developing visualizations of data that can easily be comprehended and simplified for non-technical stakeholder audiences;
• Directing internal and external processing or system reviews, studies, projects and data validation efforts as a means to evaluate system performance and vulnerabilities.
Additional information on the qualification requirements is outlined in the OPM Qualification Standards Handbook of General Schedule Positions and is available at OPM's website: https://www.opm.gov/qualifications/standards/indexes/num-ndx.asp
All qualification requirements must be met by the closing date of this announcement.
Education
This position has a positive education requirement. Please see the Qualifications section for more information.
Additional information
• This position may be eligible for telework per agency policy.
• OJP offers opportunities for flexible work schedules.
• This position has a duty station of Washington, D.C. The selectee will be required to physically report to the OJP office building at least four (4) days per bi-weekly pay period and may incorporate leave and official travel plans into this reporting requirement. The office director or supervisor may request the selectee's presence in the office more frequently, as determined by the needs of the office. The selectee will be responsible for covering all commuting-related travel expenses. OJP employees are eligible for one transportation benefit - parking or the Department of Justice (DOJ) transit subsidy.
• Recruitment incentives may be authorized.
• This position is included in the bargaining unit.
• This vacancy announcement may be used to fill additional vacancies.
• Please do not indicate current or former position salary in your application or resume.
• As the federal agency whose mission is to ensure the fair and impartial administration of justice for all Americans, the Department of Justice is committed to fostering a diverse and inclusive work environment. To build and retain a workforce that reflects the diverse experiences and perspectives of the American people, we welcome applicants from the many communities, identities, races, ethnicities, backgrounds, abilities, religions, and cultures of the United States who share our commitment to public service.
• Benefits
A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.
How You Will Be Evaluated
You will be evaluated for this job based on how well you meet the qualifications above.
You will be evaluated for this job based on how well you meet the qualifications above.
Direct Hire applicants: Your resume and supporting documentation will be used to determine whether you meet the job qualifications listed on this announcement. Your resume must contain sufficiently detailed information upon which to make a qualification determination. Qualified candidates will be considered in accordance with the Office of Personnel Management Direct Hire guidelines. Veterans' Preference does not apply to direct hire recruitment procedures.
Interagency Career Transition Assistance Plan (ICTAP)/Career Transition Assistance Plan (CTAP): The ICTAP provides eligible displaced Federal competitive service employees with selection priority over other candidates for competitive service vacancies. The CTAP provides eligible surplus and displaced competitive service employees in the Department of Justice with selection priority over other candidates for competitive service vacancies. If your agency has notified you in writing that you are a displaced employee eligible for ICTAP consideration, or if your Department of Justice component has notified you in writing that you are a surplus or displaced employee eligible for CTAP consideration, you may receive selection priority if: 1) this vacancy is within your ICTAP/CTAP eligibility; 2) you apply under the instructions in this announcement; and 3) you are found well-qualified for this vacancy. To be well-qualified, applicants must possess experience that exceeds the minimum qualifications of the position including all selective factors if applicable and must be proficient in most of the requirements of the job. Information about ICTAP and CTAP eligibility is on OPM's Career Transition Resources website, which can be found at https://www.opm.gov
• Benefits
A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.
• Required Documents
As a new or existing federal employee, you and your family may have access to a range of benefits. Your benefits depend on the type of position you have - whether you're a permanent, part-time, temporary or an intermittent employee. You may be eligible for the following benefits, however, check with your agency to make sure you're eligible under their policies.
REMINDER: ALL DOCUMENTS MUST BE RECEIVED BY 11:59 Eastern Time (Washington, D.C. time) ON 07/08/2024 .
REQUIRED DOCUMENTS (ALL APPLICANTS):
1. Resume (To receive credit for experience, your employment history must be documented in month/year format (MM/YYYY), reflecting starting date and ending date and include the number of hours worked per week. Failure to follow this format may result in disqualification), and
2. Unofficial transcripts (official transcripts will be required if selected), and3. Responses to the online questionnaire.
Note: Incomplete applications will not be considered.
If you are claiming CTAP/ICTAP eligibility, you must submit proof by the closing date of the announcement that you meet the requirements of 5 CFR 330.605(u) for CTAP and 5 CFR 330.704 for ICTAP or you will not receive priority consideration. The proof includes a copy of the Agency notice, your most recent performance appraisal, and your most recent SF-50 Notification of Personnel Action for Competitive Appointment.
If you are relying on your education to meet qualification requirements:
Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education.
Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.
• How to Apply
To apply for this position, you must complete the online application and submit the supporting documentation specified in the Required Documents section above.
A complete application package, to include the responses to the online Assessment Questionnaire, must be submitted by 11:59 PM (EST) on 07/08/2024to receive consideration.
To begin, click Apply to access the online application. You will need to be logged into your USAJOBS account to apply. If you do not have a USAJOBS account, you will need to create one before beginning the application.
• Follow the prompts to select your résumé and/or other supporting documents to be included with your application package. You will have the opportunity to upload additional documents to include in your application before it is submitted. Your uploaded documents may take several hours to clear the virus scan process.
• After acknowledging you have reviewed your application package, complete the Include Personal Information section as you deem appropriate and click to continue with the application process.
• You will be taken to the online application which you must complete in order to apply for the position. Complete the online application, verify the required documentation is included with your application package, and submit the application.
To verify the status of your application, log into your USAJOBS account (https://my.usajobs.gov/Account/Login), all of your applications will appear on the Welcome screen. The Application Status will appear along with the date your application was last updated. For information on what each Application Status means, visit: https://www.usajobs.gov/Help/how-to/application/status/. If you need help with the application process, please see the USAJOBS Help Site .
If you are unable to apply online, please contact Abygail Sharrar-Armendariz at
abygail.sharrar-armendariz@usdoj.govor 202-702-9332 for alternate application procedures.
Agency contact information
Abygail Sharrar-Armendariz
abygail.sharrar-armendariz@usdoj.gov
Address
Bureau of Justice Statistics
DO NOT MAIL
Washington, DC 20531
US
Next steps
Once your completed application is certified and received you will receive an acknowledgement email that your submission was successful. After a review of your complete application is made you will be notified of your status and/or referral to the hiring official. If further evaluation or interviews are required you will be contacted. After making a tentative job offer, we will conduct a suitability/security background investigation. We expect to make a final job offer within 80 days after the closing date of the announcement.
• Fair and Transparent
The Federal hiring process is set up to be fair and transparent. Please read the following guidance.
• Criminal history inquiries
• Equal Employment Opportunity (EEO) Policy
• Financial suitability
• New employee probationary period
• Privacy Act
• Reasonable accommodation policy
• Selective Service
• Signature and false statements
• Social security number request
Required Documents
REMINDER: ALL DOCUMENTS MUST BE RECEIVED BY 11:59 Eastern Time (Washington, D.C. time) ON 07/08/2024 .
REQUIRED DOCUMENTS (ALL APPLICANTS):
1. Resume (To receive credit for experience, your employment history must be documented in month/year format (MM/YYYY), reflecting starting date and ending date and include the number of hours worked per week. Failure to follow this format may result in disqualification), and
2. Unofficial transcripts (official transcripts will be required if selected), and3. Responses to the online questionnaire.
Note: Incomplete applications will not be considered.
If you are claiming CTAP/ICTAP eligibility, you must submit proof by the closing date of the announcement that you meet the requirements of 5 CFR 330.605(u) for CTAP and 5 CFR 330.704 for ICTAP or you will not receive priority consideration. The proof includes a copy of the Agency notice, your most recent performance appraisal, and your most recent SF-50 Notification of Personnel Action for Competitive Appointment.
If you are relying on your education to meet qualification requirements:
Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education.
Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.
Help
This job is open to
• Career transition (CTAP, ICTAP, RPL)
Federal employees who meet the definition of a "surplus" or "displaced" employee.
• The public
U.S. Citizens, Nationals or those who owe allegiance to the U.S.
Clarification from the agency
This position is being filled under the Direct Hire Authority. U. S. Citizenship required Show more details...
via Glassdoor
posted_at: 25 days agoschedule_type: Contractorsalary: 40–55 an hourwork_from_home: 1
Job Title: Data Scientist
Location: Remote, PST...
Summary:
The main functions of this role are to enable the team in understanding the performance of the Edge business metrics, manipulate big data, do exploratory analyses of the data, apply statistical/ML modelling techniques to generate insights and hypotheses, build & maintain reports/dashboards and communicate the outcomes to the LT.
Job responsibilities:
• Contribute to weekly business
Job Title: Data Scientist
Location: Remote, PST...
Summary:
The main functions of this role are to enable the team in understanding the performance of the Edge business metrics, manipulate big data, do exploratory analyses of the data, apply statistical/ML modelling techniques to generate insights and hypotheses, build & maintain reports/dashboards and communicate the outcomes to the LT.
Job responsibilities:
• Contribute to weekly business metric reporting by analysing metric movements, communicating status of the metrics clearly and effectively, building/maintaining dashboards etc.
• Process and analyse big data datasets, usage funnels, long term trends using Statistical, Machine Learning modelling, and Hypothesis driven approach to identify opportunities, patterns, pain points in end user’s journey and provide recommendations to the leadership teams to help in driving customer satisfaction, acquisition, engagement, and retention.
• Collaborate not only with other Data Scientists, Developers, Product Managers, feature teams within Edge but also with Partner teams like Finance, Business, Marketing teams etc. to help drive the Edge business growth.
Qualifications:
• Bachelor's degree in computer science, Statistics, Data Science, Mathematics, Econometrics, Economics, or related field
• 2-4 years of working experience in Business Insights, Data Analytics and Data Science experience
• Proficiency in at least one scripting language & data analysis tools such as SQL, Python, R, or similar.
• Experience of working with reporting tool like PowerBI, Excel etc,
• Experience of working with big data platforms like Microsoft Azure, Databricks, Cosmos or equivalent
Top 3 Hard Skills Required: - (Years of Experience)
1. Minimum 2-4 years’ experience with scripting language - SQL, Python, etc.
2. Minimum 2-4 years’ experience with working with big data - Cosmos, Databricks or equivalent.
3. Minimum 2-4 years’ experience with manipulating data and completing data analysis & reporting.
Job Type: Contract
Pay: $40.00 - $55.00 per hour
Expected hours: 40 per week
Benefits:
• 401(k)
• Dental insurance
• Health insurance
Compensation package:
• Hourly pay
Schedule:
• Monday to Friday
Experience:
• Python: 1 year (Preferred)
• SQL: 1 year (Preferred)
Work Location: Remote Show more details...
Location: Remote, PST...
Summary:
The main functions of this role are to enable the team in understanding the performance of the Edge business metrics, manipulate big data, do exploratory analyses of the data, apply statistical/ML modelling techniques to generate insights and hypotheses, build & maintain reports/dashboards and communicate the outcomes to the LT.
Job responsibilities:
• Contribute to weekly business metric reporting by analysing metric movements, communicating status of the metrics clearly and effectively, building/maintaining dashboards etc.
• Process and analyse big data datasets, usage funnels, long term trends using Statistical, Machine Learning modelling, and Hypothesis driven approach to identify opportunities, patterns, pain points in end user’s journey and provide recommendations to the leadership teams to help in driving customer satisfaction, acquisition, engagement, and retention.
• Collaborate not only with other Data Scientists, Developers, Product Managers, feature teams within Edge but also with Partner teams like Finance, Business, Marketing teams etc. to help drive the Edge business growth.
Qualifications:
• Bachelor's degree in computer science, Statistics, Data Science, Mathematics, Econometrics, Economics, or related field
• 2-4 years of working experience in Business Insights, Data Analytics and Data Science experience
• Proficiency in at least one scripting language & data analysis tools such as SQL, Python, R, or similar.
• Experience of working with reporting tool like PowerBI, Excel etc,
• Experience of working with big data platforms like Microsoft Azure, Databricks, Cosmos or equivalent
Top 3 Hard Skills Required: - (Years of Experience)
1. Minimum 2-4 years’ experience with scripting language - SQL, Python, etc.
2. Minimum 2-4 years’ experience with working with big data - Cosmos, Databricks or equivalent.
3. Minimum 2-4 years’ experience with manipulating data and completing data analysis & reporting.
Job Type: Contract
Pay: $40.00 - $55.00 per hour
Expected hours: 40 per week
Benefits:
• 401(k)
• Dental insurance
• Health insurance
Compensation package:
• Hourly pay
Schedule:
• Monday to Friday
Experience:
• Python: 1 year (Preferred)
• SQL: 1 year (Preferred)
Work Location: Remote Show more details...
via Recruiter Jobs
posted_at: 4 days agoschedule_type: Full-time
The Intersection of Calling & CareerWorld Vision is now hiring for Data Scientist .00 At a GlanceRole: Data ScientistLevel: Senior (individual contributor, requires at least 5 years of experience)Required Experience: Master's degree in business, statistics, or related field, or Certification in data science, or 10 years of equivalent work experience. Experience should include use of supervised... and unsupervised machine learning techniques and a
The Intersection of Calling & CareerWorld Vision is now hiring for Data Scientist .00 At a GlanceRole: Data ScientistLevel: Senior (individual contributor, requires at least 5 years of experience)Required Experience: Master's degree in business, statistics, or related field, or Certification in data science, or 10 years of equivalent work experience. Experience should include use of supervised... and unsupervised machine learning techniques and a growing knowledge of generative AI. A minimum of 5 years of experience programming in Python, R, SAS, or SQL, including preprocessing and cleaning data. Experience effectively visualizing data in PowerBI, Tableau, Excel, or similar tool, and effectively presenting to laypeople. Requires strong grasp and proper usage of business statistics. Must be currently authorized to work in the United States.Salary Range: $98,427.27 - $161,275.29. Applies to locations with a market similar to our U.S. HQ in the Greater Seattle area. A different range may apply based on your work location. The typical hiring range is $115,000 - $140,000. Job offers within the range are based on relevant job qualifications and pay equity. See the “Salary Range & Benefits” section below for more details on our compensation and benefits.Benefits: Yes. Click here to learn more.Location: Remote within the United States. The role can be based in over 40 states.Company Size/Type: 1000+. Non-profit charitable organization. Together, we empower the most vulnerable children to overcome poverty and experience the fullness of life. We help children of all backgrounds, even in the most dangerous places, inspired by our Christian faith.01 Join Purpose-Driven Professionals At World Vision USA you’ll join people who are all-in to impact the lives of the world's most vulnerable children. Our recipe includes love of all people, fiscal responsibility, and targeting the root causes of poverty. Our purpose includes human transformation for the most vulnerable and for the donors who support them.And the impact is real. Every day we see donors’ hearts draw closer to God's heart for children, families, and communities affected by poverty and injustice. The work you'll do here will help make it possible that every 60 seconds a family gets water, a hungry child is fed, and a family gets the tools they need to overcome poverty.02 The Job We are looking for a seasoned Data Scientist with a passion for building AI/data solutions that help our fundraisers inspire our donors and provide a better life for hundreds of thousands of children in 100 countries. You will be joining a team of two other data scientists to innovate and leverage both traditional and generative AI for marketing and fundraising initiatives. Responsibilities include:Helping define our evolving vision and AI/machine learning tactics for all World Vision marketing functions.Leveraging generative AI as well as machine learning to take modeling projects from ideation to feature creation, training, and implementation.Monitoring and managing models over time to ensure we are continually putting our best foot forward for our faithful donors.Serving as analytical consultants to our marketers by setting up and reading market tests , producing actionable insights from deep-dive analyses , and applying best practices in information visualization .Applying sound statistics that help the organization make reliable data-driven decisions.Keeping Christ central in our individual and corporate lives. Attending and participating in weekly devotions, chapel services, and regular prayer.03 You BringHeart for service because we are not just working with data, we are working with valuable donor dollars and impacting the livelihood of the world’s neediest children.Team spirit because we collaborate and function as a body of Christ, not lone rangers or unicorns. Yet you also bring a “figure it out” attitude because you are a resourceful professional working with rapidly evolving technologies.Passion for continual learning because our industry, our organization, and the data science world will never stop changing.Creative problem-solving with generative AI and machine learning and the fortitude to follow through to the end because our data and our projects won’t be easy.Real-world experience in marketing data science (including digital marketing). This means you can build models, but have experimented with gen-AI, wrestled with defining training sets, creating features, and monitoring models over time because you know the building part is only the tip of the iceberg.Fluency in SQL and Python to pull and transform data, conduct descriptive analysis, and perform machine learning. There will be a lot of coding for sure and it won’t always be the glamorous machine learning type.Familiarity with automated machine learning because we’re a non-profit trying to do more with less by embracing DataRobot to do the work of 5x more people than we have.Excellent verbal and written communication skills that resonate with lay people because you’ll be working with marketers who put tremendous value in words and images.04 What success look likeDevelop and implement a comprehensive machine learning strategy for World Vision's marketing functions, aligning with the organization's vision and goals, within the first 90 days of employment.Successfully create and deploy predictive models using automated machine learning techniques and programming skills, resulting in a measurable improvement in fundraising initiatives' effectiveness within the first six months.Continuously monitor and optimize the performance of machine learning models, ensuring their accuracy and relevance over time, with a focus on maximizing donor engagement and retention rates quarterly.Provide actionable insights derived from in-depth market analyses and test setups, enabling the marketing team to make data-driven decisions that enhance campaign performance and outreach efforts, with at least three high-impact recommendations implemented per quarter.Demonstrate proficiency in statistical concepts and their practical application within World Vision's context, effectively communicating complex ideas to non-technical stakeholders, and fostering a culture of data-driven decision-making across the organization within the first year of employment.Provide thought leadership on implementing new and emerging data science methods, tools, and ways of working that will provide a greater impact on our fundraising efforts.05 Salary Range & Benefits Your compensation and benefits are important to you so they’re important to us. The full salary range for this role is $98,427.27 - $161,275.29. The typical hiring range is $115,000 - $140,000. Job offers within the range are based on relevant job qualifications and pay equity. Please indicate the range you're targeting when asked during the application process. In addition, we have a robust and comprehensive benefits package to round out our total compensation package. Click here to learn more (this position is a grade 228). World Vision employees see our Salary Administration Guidelines and My Life My Benefits pages on our organization intranet known as The Vine.06 Where this job could take your career World Vision U.S. is a part of the larger World Vision International partnership. Globally, we have 34,000+ staff working in nearly 100 countries. About 1000 of us call World Vision U.S. home. You'll have opportunities to enhance your skills within the field of data science by working with leadership that cultivates a growth mindset and supports professional development through activities like certification programs, conferences, and webinars.07 About World Vision U.S. When you work at World Vision, your passions and talents come together to help meet the greatest needs in the world today. We tackle poverty at its roots, with a focus on helping the most vulnerable children overcome poverty and experience the fullness of life. Our staff around the world are committed to demonstrating God’s unconditional love for all people by serving every child we can, of any faith or none. And we are one of the world’s most trusted charities, with more than 70 years of experience working alongside communities, donors, partners, and governments to create opportunities for better futures for vulnerable children ... even in the toughest places. Are you feeling called to explore joining us?08 Let your work be your faith in action In 2021 an estimated 5 million children under the age of 5 years died, mostly from preventable and treatable causes (USAID, WHO). That’s why we’re looking for someone who is ready to place their expertise behind helping the world’s most vulnerable children experience life in all its fullness. Your impact will be felt by the most vulnerable in over 100 countries, including right here in the United States.09 To Apply Press the appropriate button on this page.#J-18808-Ljbffr
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via Workday
posted_at: 2 days agoschedule_type: Full-timework_from_home: 1
It’s a great time to join the City of Boulder! Application Deadline: July 9, 2024 Hiring Range: 110,052.80 - 165,089.60 This is a full-time salaried position. Scheduled Weekly Hours: 40 Benefit Eligibility Group: Non Union (30+ Hours) Locate the Benefit Eligibility Group value on the Employee Benefit Eligibility document to identify the benefits offered for this job. Job Description Summary: As a... key part of the City of Boulder’s Enterprise
It’s a great time to join the City of Boulder! Application Deadline: July 9, 2024 Hiring Range: 110,052.80 - 165,089.60 This is a full-time salaried position. Scheduled Weekly Hours: 40 Benefit Eligibility Group: Non Union (30+ Hours) Locate the Benefit Eligibility Group value on the Employee Benefit Eligibility document to identify the benefits offered for this job. Job Description Summary: As a... key part of the City of Boulder’s Enterprise Data Team, this individual will support analytic, application and reporting data workflows and shape design and strategy for enterprise database systems. As an expert in standards for maintenance, operations, programming, and security in both on-premises cloud data environments, the individual will take ownership of enterprise data warehousing implementation. As a foundational member of the Enterprise Data Team, they will have the opportunity to shape the direction of data architecture strategy, data governance, data science and data training for the City. The ideal candidate can deliver high-quality work across multiple complex and high-profile projects; our current pipeline includes work on citywide equity initiatives, smart cities projects and public safety transformation. The ideal candidate will have a high degree of independent planning and accountability, as well as experience in project coordination, stakeholder management and robust documentation of decisions and processes. Job Description: Essential Duties & Responsibilities: DATA ENGINEERING: Lead database and data flow design and implementation. This includes, but is not limited to, responsibility for: • Determination of the database architecture • Design or design review of database objects and user security access • Design or design review of data model diagrams • Designing and Developing ETL pipelines • SQL performance troubleshooting • Documents ERDs for RDBMS databases • Creating or providing access to development and test databases • Deploying database objects to production databases ENTERPRISE INTEGRATION AND ARCHITECTURE: Aimed to improve data management, data integration, and application integration functionality. Including but not limited to the following: • Advocates for application integrations to maximize city operations' efficiency and effectiveness and reduce the reliance on non-specialized and/or supplemental applications. • Documents requirements, evaluates and presents recommendations for integration solutions. • In conformance with city technical architecture standards and plans, develops and makes recommendations about applications solutions. • Under the functional guidance of internal business analysts, provide BA service to City departments. Requested tasks may include studying information flows and business processes to streamline business processes, expand software and data integration and simplify application architecture among multiple business areas in the organization. DATABASE ADMINISTRATION: Provides expert advice to the DBA team, including hands-on support, on the installation, monitoring, troubleshooting, backup, policy development and policy compliance. Minimum Qualifications: • Expert-level T-SQL or PL-SQL including stored procedure development; automation development through use of Powershell scripts, SQLServer Management Studio, T-SQL, PL/SQL, and other system monitoring and management methods. • A proven and demonstrated proficiency in support of enterprise level database platforms. • Ability to work and guide development teams related to database design and architecture, application tuning and data modeling. • Demonstratable verbal and written communication skills, including presentation skills. • Ability to communicate effectively to all levels of an organization, including soliciting information and translating business needs into technical solutions. • Experience in organizing projects, work plans, and communicating with management, coworkers, and system users. • Ability to organize and prioritize work under general supervision. Preferred Qualifications: • Experience in a governmental, non-profit, or educational entity. • Experience in working with data stored in cloud-hosted (SaaS) systems. • Experience in developing and maintaining Azure data warehouse infrastructure • Competency in python • Experience in the development of SQL Server Reporting Services (SSRS). • Thorough understanding of backup and recovery strategies, technologies, and processes. • Strong troubleshooting /performance tuning skills, advanced Powershell or Linux scripting. • Ability to diagnose problems and resolve issues across various tiers (application, network, database, server or storage tiers). • Ability to mentor and train DBAs and other members of the data team. Additional Job Description: Required Education & Experience: • Bachelor’s Degree in computer science, business, or related field or equivalent experience • Minimum of 6 years progressively responsible experience as a professional Database Administrator on SQL Server, Oracle and/or MySQL. Supervision Received: Chief Data Officer Supervision Exercised: None Working Conditions & Requirements: • A proven track record of working in a remote environment • Acceptable background check, including criminal history • Successful completion of Criminal Justice Information Systems (CJIS) certification • Out of hours work where required on business-critical systems. Language Requirement: Business competency in English The City of Boulder is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected statute. For individuals with disabilities who would like to request an accommodation, please send a request to HR@bouldercolorado.gov. The City of Boulder is a great place to live, work, grow and play. With over 300 miles of dedicated bikeways and more than 150 miles of hiking trails, Boulder values active lifestyles and access to nature. Forty-five thousand acres of land provide open space for parks and a green belt around the city. With world class restaurants and art and music venues, The City of Boulder values diverse culture. Respect is one of our five City Values (including Customer Service, Collaboration, Integrity and Innovation) and we are committed to equity, diversity and inclusion. We celebrate and support our differences across all spectrums, including but not limited to ethnicity, gender, age, disability and sexuality. Through our focus on Racial Equity, our employee benefits, and the many programs resources we offer our staff, we continually strive to weave respect for one another into the fabric of our organization. Add your voice and talents to the City of Boulder and help us grow in service excellence for an inspired future
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via Workday
schedule_type: Full-timework_from_home: 1
Department BSD SUR - OHNS: Thirty Million Words - Tech About the Department The TMW Center for Early Learning + Public Health (TMW Center) develops science-based interventions, tools, and technologies to help parents and caregivers interact with young children in ways that maximize brain development. A rich language environment is critical to healthy brain development, however few tools exist to... measure the quality or quantity of these environments.
Department BSD SUR - OHNS: Thirty Million Words - Tech About the Department The TMW Center for Early Learning + Public Health (TMW Center) develops science-based interventions, tools, and technologies to help parents and caregivers interact with young children in ways that maximize brain development. A rich language environment is critical to healthy brain development, however few tools exist to... measure the quality or quantity of these environments. Access to this type of data allows caregivers to enhance interactions in real-time and gives policy-makers insight in how to best build policies that have a population-level impact. The ECM team within TMW Center in partnership with Schmidt Futures is building a low-cost wearable device that can reliably and accurately measure a child’s early language environment vis-à-vis the conversational turns between a child and caregiver. The goal is to provide accurate, real-time feedback that empowers parents and caregivers to create the best language environment for their children. Job Summary The TMW Center is looking for a Data Science Analyst to support the wearable team in the development of this wearable technology. As a member of the TMW Center’s wearable team, the Data Science Analysts will develop, test, and validate existing machine learning algorithms, train new algorithms, lead ETL efforts, and partner with other team members and vendors to connect the algorithm, hardware and firmware pieces together. The TMW Center seeks candidates who are dynamic, collaborative, and curious. Responsibilities Define features of audio recording to develop novel models. Create cutting-edge machine learning algorithms on audio datasets. Develop scripts and code for analyses. Analyze moderately complex data sets for the purpose of extracting and purposefully using applicable information. Build and analyze statistical models and reproducible data processing pipelines using knowledge of best practices in machine learning and statistical inference. Supervise contributions of specialized Student Research Assistants to prepare datasets to train algorithms. Assist Chief Technology Officer on a weak supervision pipeline. Collaborate with team and external vendors (hardware, firmware, electrical engineers) and weigh in on requirements to run the algorithms. Keep abreast of broader tech and data systems landscape and best practices; secure and maintain needed certifications to ensure proper creation and maintenance of TMW Center data systems. Ensure secure data storage, guaranteeing regular backups and storage in compliance with HIPAA and current best practices. Cleans, transforms, merges, and matches between large and complex research and administrative datasets. Plans own resources to collect, organize, and analyze information from the University's various internal data systems as well as from external sources. Builds and analyzes statistical models and reproducible data processing pipelines using knowledge of best practices in machine learning and statistical inference. Serves as a single point of contact for all requests and engages other IT resources to assist as needed. May partner with other campus teams to assist faculty with data science related needs. Performs other related work as needed. Minimum Qualifications Education: Minimum requirements include a college or university degree in related field. --- Work Experience: Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline. --- Certifications: --- Preferred Qualifications Education: Advanced degree in Computer Science, Statistics, Mathematics, or Economics with a focus on computer science. Experience: Experience with Arduino or hardware integration. Experience developing and implementing machine learning solutions for real world use. Experience with cloud resources such as Amazon Web Services (including AWS Redshift, Amazon RDS, and Amazon Aurora). Experience using Linux. Preferred Competencies Proficiency in Python, Numpy, Pandas and scikit-learn. Familiarity handling terabyte size datasets. Ability to write production-level code. Ability to handle multiple tasks and assignments simultaneously. Problem-solving skills, including a strong ability to prioritize and collaborate. Excellent verbal and written communication skills. Proven ability to establish and stick to timelines. Excellent organizational skills, including strong attention to detail. Knowledge of university and research-related regulatory policies and procedures, including IRB procedures. Ability to train others. Initiative and independent judgment. Application Documents Resume/CV (required) Cover Letter (required) When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application. Job Family Research Role Impact Individual Contributor FLSA Status Exempt Pay Frequency Monthly Scheduled Weekly Hours 40 Benefits Eligible Yes Drug Test Required No Health Screen Required No Motor Vehicle Record Inquiry Required No Posting Statement The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange. All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637. The University of Chicago is an urban research university that has driven new ways of thinking since 1890. Our commitment to free and open inquiry draws inspired scholars to our global campuses, where ideas are born that challenge and change the world. We empower individuals to challenge conventional thinking in pursuit of original ideas. Students in the College develop critical, analytic, and writing skills in our rigorous, interdisciplinary core curriculum. Through graduate programs, students test their ideas with UChicago scholars, and become the next generation of leaders in academia, industry, nonprofits, and government. To learn more about the university click here http://www.uchicago.edu
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via PyJobs
schedule_type: Full-timesalary: 95K–165K a year
Role: Data Science Team Lead
Reports to: CTO (Chief Technology Officer...
Location: New York City (Hybrid)
Standard Workday: U.S. East Coast hours
About sparks & honey
sparks & honey is a cultural consultancy on a journey to set a new standard in strategy and transformation. As a consultancy, we are defined by our focus on culture and the development of technology that allows us to understand and measure the forces shaping society in real-time.
Role: Data Science Team Lead
Reports to: CTO (Chief Technology Officer...
Location: New York City (Hybrid)
Standard Workday: U.S. East Coast hours
About sparks & honey
sparks & honey is a cultural consultancy on a journey to set a new standard in strategy and transformation. As a consultancy, we are defined by our focus on culture and the development of technology that allows us to understand and measure the forces shaping society in real-time. We work with global Fortune 500 companies, NGOs, Government organizations, and high growth startups. In each instance providing strategies designed to envision future scenarios with tangible steps to make them a reality.
Our values:
• Curiosity: We are radical explorers in pursuit of lifelong learning.
• Resilience: Adversity is a springboard for growth.
• Adaptability: Embracing change is both an opportunity and a necessity.
• Courage: Challenging what’s comfortable drives us forward.
• Humanity: Bringing the real you makes for the best version of us.
About the Role: sparks & honey uses our SaaS platform Q (https://q.sparksandhoney.com/) to drive research and client deliverables. The individual would be part of the Product Engineering Team, which builds, extends, and maintains this platform. The team will consist of a Lead Developer, two Front-End Developers (Senior SWE), and one Back-End Developer (Senior SWE).
The ideal candidate: You are a data scientist adept at programming and seeking to automate your work, so your work can be part of a live application. You are expected to contribute towards all Back-End and data-pipeline activities required to build, extend, and support our existing and future ML models. You are also expected to own and lead the full lifecycle of our data science stack and pipeline. While not fully comprehensive, below are areas of focus likely to be the core of responsibilities. You welcome on-the-job training and are willing to learn and grow in the role. We favor candidates open to managing team members to accomplish big goals.
Your Areas of Focus
Teamwork
• Willingness to work independently and unsupervised with Software Engineers, Product Managers, Designers, QA, DevOps, and Business Stakeholders (e.g., CEO, COO, CMO, Customer Success)
• Ability to work for major time chunks during the Standard Work Day in a team setting with shared screens and cameras
• Ability to work real-time on MS Teams during workday
• Ability to perform code review on GitHub for peer work review
• Ability to issue Pull Requests on Git to push one’s work to the next stage
• Ability to work actively with Front-End and Back-End developers to co-develop backend routes which will then be used on own work
• Ability to live-code and live-fix small issues in active working sessions working alongside Product Managers
Tooling
• Ability to work with specified tools: JIRA, GitHub, MS Teams
• Ability to work with Git branches
• Ability to merge Git branches
• Data Science Skills
• Ability to train models, both Classical and Deep Learning
• Ability to use external ML/AI tools, both via applications and APIs. This includes both inference and fine-tuning
• Ability to work with GenAI tools such as LangChain and customize as required
• Ability to direct the efforts of a team of engineers towards Data Science goals
• Ability to work with embeddings, dimensionality reduction, and similarity measures using embeddings/Lucene DBs (e.g., Pinecone, OpenSearch/Elastic)
• Ability to take minimally defined Product Requirements and translate them into DS models and inference systems
• Ability to work with and support time series models (e.g., Facebook prophet)
• Ability to work with other Leads and estimate Level of Effort for multi-day tasks
Data
• Ability to work with large datasets (we have ~400M records in five environments)
• Ability to write multithreaded scripts for statistics and machine learning
• Ability to lead Exploratory Data Analysis using SQL, ETL, Redshift and various AWS Products
• Back End Skills
• Ability to write backend routes in Python (Flask, FastAPI, etc.) for Data Science automation with minimal guidance
• Ability to write automated tests for all data science backend code using pytest
• Ability to write clean documentation for the DS backend using swagger/OAS
• Ability to read, write, and update SQL statements to support data science work
• Ability to read documentation and create client scripts against other/external APIs, ability to chain APIs
Software Engineering Skills
• Ability to work on a daily release cycle with daily commits, daily builds, daily PRs, and daily code review of peers’ work (back-end and data engineering scripts)
• Ability to use s&h’s standard frameworks without divergence or re-work
• Ability to maintain and extend large existing codebases
• Ability to push back against specific parts of PRDs which are likely to create unreasonable complexity and/or require unreasonable effort
• Ability to troubleshoot issues using documentation, StackOverflow, Reddit, and all available Q&A sources
Application Architecture & Setup
• Ability to work with existing Docker containers, containerized applications
• Ability to work equally well on both local and cloud environments
• Ability to create containerize existing Data Science applications from scratch
• Ability to work within existing architectures and frameworks
Environments
• Ability to work in a LINUX environment, especially on the cloud
• Ability to work within major AWS products (Lambda, EC2, serverless, s3, RDS, Elastic/OpenSearch)
• Production Support
• Willingness to be available as required for emergency Production Support for Data Science Model Failures
• Willingness to monitor multiple Teams channels throughout the day and react to issues that might arise as a result of own work, research, and respond with potential root causes for Model issues
The salary range for this role, based in New York, is generally $95,000 to $165,000, and we continually review ranges to address skills, experience and markets. Base salaries are determined during our interview process, by assessing a number of factors that include, but aren’t limited to, a candidate’s experience and skills relative to the scope and responsibilities of the position.
We are proud to be an Equal Opportunity/Affirmative Action Employer and committed to leveraging the diverse backgrounds, perspectives, and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate in employment decisions on the basis of any protected category.
Omnicom will never ask for money up front and will not use apps such as Facebook Messenger, WhatsApp or Google Hangouts for communicating with you. You should be very wary of, and carefully scrutinize, any job opportunity that asks for money prior to starting and/or one where all communications take place exclusively via chat. We are proud to be an Equal Opportunity/Affirmative Action Employer and committed to leveraging the diverse backgrounds, perspectives, and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate in employment decisions on the basis of any protected category Show more details...
Reports to: CTO (Chief Technology Officer...
Location: New York City (Hybrid)
Standard Workday: U.S. East Coast hours
About sparks & honey
sparks & honey is a cultural consultancy on a journey to set a new standard in strategy and transformation. As a consultancy, we are defined by our focus on culture and the development of technology that allows us to understand and measure the forces shaping society in real-time. We work with global Fortune 500 companies, NGOs, Government organizations, and high growth startups. In each instance providing strategies designed to envision future scenarios with tangible steps to make them a reality.
Our values:
• Curiosity: We are radical explorers in pursuit of lifelong learning.
• Resilience: Adversity is a springboard for growth.
• Adaptability: Embracing change is both an opportunity and a necessity.
• Courage: Challenging what’s comfortable drives us forward.
• Humanity: Bringing the real you makes for the best version of us.
About the Role: sparks & honey uses our SaaS platform Q (https://q.sparksandhoney.com/) to drive research and client deliverables. The individual would be part of the Product Engineering Team, which builds, extends, and maintains this platform. The team will consist of a Lead Developer, two Front-End Developers (Senior SWE), and one Back-End Developer (Senior SWE).
The ideal candidate: You are a data scientist adept at programming and seeking to automate your work, so your work can be part of a live application. You are expected to contribute towards all Back-End and data-pipeline activities required to build, extend, and support our existing and future ML models. You are also expected to own and lead the full lifecycle of our data science stack and pipeline. While not fully comprehensive, below are areas of focus likely to be the core of responsibilities. You welcome on-the-job training and are willing to learn and grow in the role. We favor candidates open to managing team members to accomplish big goals.
Your Areas of Focus
Teamwork
• Willingness to work independently and unsupervised with Software Engineers, Product Managers, Designers, QA, DevOps, and Business Stakeholders (e.g., CEO, COO, CMO, Customer Success)
• Ability to work for major time chunks during the Standard Work Day in a team setting with shared screens and cameras
• Ability to work real-time on MS Teams during workday
• Ability to perform code review on GitHub for peer work review
• Ability to issue Pull Requests on Git to push one’s work to the next stage
• Ability to work actively with Front-End and Back-End developers to co-develop backend routes which will then be used on own work
• Ability to live-code and live-fix small issues in active working sessions working alongside Product Managers
Tooling
• Ability to work with specified tools: JIRA, GitHub, MS Teams
• Ability to work with Git branches
• Ability to merge Git branches
• Data Science Skills
• Ability to train models, both Classical and Deep Learning
• Ability to use external ML/AI tools, both via applications and APIs. This includes both inference and fine-tuning
• Ability to work with GenAI tools such as LangChain and customize as required
• Ability to direct the efforts of a team of engineers towards Data Science goals
• Ability to work with embeddings, dimensionality reduction, and similarity measures using embeddings/Lucene DBs (e.g., Pinecone, OpenSearch/Elastic)
• Ability to take minimally defined Product Requirements and translate them into DS models and inference systems
• Ability to work with and support time series models (e.g., Facebook prophet)
• Ability to work with other Leads and estimate Level of Effort for multi-day tasks
Data
• Ability to work with large datasets (we have ~400M records in five environments)
• Ability to write multithreaded scripts for statistics and machine learning
• Ability to lead Exploratory Data Analysis using SQL, ETL, Redshift and various AWS Products
• Back End Skills
• Ability to write backend routes in Python (Flask, FastAPI, etc.) for Data Science automation with minimal guidance
• Ability to write automated tests for all data science backend code using pytest
• Ability to write clean documentation for the DS backend using swagger/OAS
• Ability to read, write, and update SQL statements to support data science work
• Ability to read documentation and create client scripts against other/external APIs, ability to chain APIs
Software Engineering Skills
• Ability to work on a daily release cycle with daily commits, daily builds, daily PRs, and daily code review of peers’ work (back-end and data engineering scripts)
• Ability to use s&h’s standard frameworks without divergence or re-work
• Ability to maintain and extend large existing codebases
• Ability to push back against specific parts of PRDs which are likely to create unreasonable complexity and/or require unreasonable effort
• Ability to troubleshoot issues using documentation, StackOverflow, Reddit, and all available Q&A sources
Application Architecture & Setup
• Ability to work with existing Docker containers, containerized applications
• Ability to work equally well on both local and cloud environments
• Ability to create containerize existing Data Science applications from scratch
• Ability to work within existing architectures and frameworks
Environments
• Ability to work in a LINUX environment, especially on the cloud
• Ability to work within major AWS products (Lambda, EC2, serverless, s3, RDS, Elastic/OpenSearch)
• Production Support
• Willingness to be available as required for emergency Production Support for Data Science Model Failures
• Willingness to monitor multiple Teams channels throughout the day and react to issues that might arise as a result of own work, research, and respond with potential root causes for Model issues
The salary range for this role, based in New York, is generally $95,000 to $165,000, and we continually review ranges to address skills, experience and markets. Base salaries are determined during our interview process, by assessing a number of factors that include, but aren’t limited to, a candidate’s experience and skills relative to the scope and responsibilities of the position.
We are proud to be an Equal Opportunity/Affirmative Action Employer and committed to leveraging the diverse backgrounds, perspectives, and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate in employment decisions on the basis of any protected category.
Omnicom will never ask for money up front and will not use apps such as Facebook Messenger, WhatsApp or Google Hangouts for communicating with you. You should be very wary of, and carefully scrutinize, any job opportunity that asks for money prior to starting and/or one where all communications take place exclusively via chat. We are proud to be an Equal Opportunity/Affirmative Action Employer and committed to leveraging the diverse backgrounds, perspectives, and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate in employment decisions on the basis of any protected category Show more details...
via No Whiteboard
schedule_type: Full-timework_from_home: 1
Why join us
Brex is reimagining financial systems so every growing company can realize their full potential. As the financial OS, we’re building software and services in one place—disrupting long-entrenched institutions with products and experiences that better serve the ambitions of our customers...
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re
Why join us
Brex is reimagining financial systems so every growing company can realize their full potential. As the financial OS, we’re building software and services in one place—disrupting long-entrenched institutions with products and experiences that better serve the ambitions of our customers...
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Data at Brex
The Data organization develops infrastructure, statistical models, and products using financial data. Our Scientists and Engineers work together to make data—and insights derived from data—a core asset across the company. Our work is ingrained in Brex’s decision-making process, in the efficiency of our operations, in our risk management policies, and in the second-to-none experience we provide our consumers.
What you’ll do
Our data scientists are responsible for the entire model development lifecycle: conception with stakeholders, iterative exploration and development, deployment into production, and partnership with stakeholders to make product or strategic decisions. We work with our partner tech, operations, and fraud teams to build systems that mitigate fraud across all of Brex’s products.
Responsibilities
• Apply your expertise in quantitative analysis and software engineering to build scalable and robust real-time ML models.
• Collaborate with cross-functional teams to unravel complex problems by clearly formulating the problem statement, understanding technical requirements, and presenting findings at all levels.
• Build internal tools or products to enable direct user interaction with the data sets and build ML systems with human-in-the-loop components.
• Design, execute, analyze, and interpret the results of experiments across our products.
• Work with business stakeholders and engineers to reconcile crucial data integrity issues.
• Maintain a strong data-driven culture within the company by interacting with diverse internal functions.
Requirements
• 3+ years in a Data Science / ML Engineering / AI Research role
• Strong interpersonal and communication skills including interaction with different business functions
• Experience contributing code to mission-critical systems and a strong proficiency in computer science fundamentals: data structure / algorithm, design patterns, and testing principles
• Experience working with high-throughput real-time systems.
Bonus points
• Experience with fraud models or domain knowledge in financial services.
• Experience contributing to and working with machine learning platforms (homegrown or third party) for building data pipelines
• Experience working on top of streaming systems for processing massive datasets.
• Familiarity with streaming technology such as Kafka, Spark, Flink Show more details...
Brex is reimagining financial systems so every growing company can realize their full potential. As the financial OS, we’re building software and services in one place—disrupting long-entrenched institutions with products and experiences that better serve the ambitions of our customers...
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Data at Brex
The Data organization develops infrastructure, statistical models, and products using financial data. Our Scientists and Engineers work together to make data—and insights derived from data—a core asset across the company. Our work is ingrained in Brex’s decision-making process, in the efficiency of our operations, in our risk management policies, and in the second-to-none experience we provide our consumers.
What you’ll do
Our data scientists are responsible for the entire model development lifecycle: conception with stakeholders, iterative exploration and development, deployment into production, and partnership with stakeholders to make product or strategic decisions. We work with our partner tech, operations, and fraud teams to build systems that mitigate fraud across all of Brex’s products.
Responsibilities
• Apply your expertise in quantitative analysis and software engineering to build scalable and robust real-time ML models.
• Collaborate with cross-functional teams to unravel complex problems by clearly formulating the problem statement, understanding technical requirements, and presenting findings at all levels.
• Build internal tools or products to enable direct user interaction with the data sets and build ML systems with human-in-the-loop components.
• Design, execute, analyze, and interpret the results of experiments across our products.
• Work with business stakeholders and engineers to reconcile crucial data integrity issues.
• Maintain a strong data-driven culture within the company by interacting with diverse internal functions.
Requirements
• 3+ years in a Data Science / ML Engineering / AI Research role
• Strong interpersonal and communication skills including interaction with different business functions
• Experience contributing code to mission-critical systems and a strong proficiency in computer science fundamentals: data structure / algorithm, design patterns, and testing principles
• Experience working with high-throughput real-time systems.
Bonus points
• Experience with fraud models or domain knowledge in financial services.
• Experience contributing to and working with machine learning platforms (homegrown or third party) for building data pipelines
• Experience working on top of streaming systems for processing massive datasets.
• Familiarity with streaming technology such as Kafka, Spark, Flink Show more details...
via PowerToFly
schedule_type: Full-timework_from_home: 1
Work you’ll do
AI Senior Consultants will Architect, Position, Design, Develop and Deploy enterprise solutions which include components across the Artificial Intelligence spectrum such as Chatbots, Virtual Assistants, Machine Learning, and Cognitive Services (e.g. Vision/Image, Textual/Language processing...
Perform data studies and data discovery routines for video, voice, weblog, sensor, machine and social media data sources or mash ups of new
Work you’ll do
AI Senior Consultants will Architect, Position, Design, Develop and Deploy enterprise solutions which include components across the Artificial Intelligence spectrum such as Chatbots, Virtual Assistants, Machine Learning, and Cognitive Services (e.g. Vision/Image, Textual/Language processing...
Perform data studies and data discovery routines for video, voice, weblog, sensor, machine and social media data sources or mash ups of new and existing data sources.
The Team
Analytics & Cognitive
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The Analytics & Cognitive team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
Analytics & Cognitive will work with our clients to:
• Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
• Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
• Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements
Qualifications:
• 3+ years of relevant Analytics consulting or industry experience
• At least 2 years of experience working with quantitative modeling (design, development & implementation) using 3+ types of algorithm (e.g., Decision Trees, Naive Bayes Classification, Ordinary Least Squares Regression, Logistic Regression, Support Vector Machines, Ensemble Methods, Clustering Algorithms, Principal Component Analysis, Singular Value Decomposition, Independent Component Analysis)
• 2+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data as part of exploratory analysis, generate features, and other similar data science driven data handling
• 2+ years of experience leading workstreams or small teams
• Demonstrated expertise with one full life cycle analytics engagement across strategy, design and implementation.
• Bachelor's Degree in Engineering, Mathematics, Empirical Statistics or 4 years equivalent professional experience
• Travel up to 50% of the time (Monday – Thursday/Friday). (While 50% of travel is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice.)
Preferred:
• Experience architecting, designing, developing and deploying enterprise solutions which include components across the Artificial Intelligence spectrum such as NLP, Chatbots, Virtual Assistants, Computer Vision, and Cognitive Services
• Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras, Tensorflow, Scikit-learn, Numpy, SciPy
• Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) frameworks to process end to end data management life cycle
• Experience with Cloud services and ML tools e.g. (AWS, GCP, Azure)
• Familiarity with Scala, Java, C++, or other similar technological support languages
• Javascript experience at User Interface (UI) level
• Ability to work independently and manage multiple task assignments.
• Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
• Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.
• An advanced degree in the area of specialization
Recruiting tips
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
Benefits
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our people and culture
Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Learn more about our inclusive culture.
Professional development
From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career Show more details...
AI Senior Consultants will Architect, Position, Design, Develop and Deploy enterprise solutions which include components across the Artificial Intelligence spectrum such as Chatbots, Virtual Assistants, Machine Learning, and Cognitive Services (e.g. Vision/Image, Textual/Language processing...
Perform data studies and data discovery routines for video, voice, weblog, sensor, machine and social media data sources or mash ups of new and existing data sources.
The Team
Analytics & Cognitive
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The Analytics & Cognitive team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
Analytics & Cognitive will work with our clients to:
• Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
• Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
• Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements
Qualifications:
• 3+ years of relevant Analytics consulting or industry experience
• At least 2 years of experience working with quantitative modeling (design, development & implementation) using 3+ types of algorithm (e.g., Decision Trees, Naive Bayes Classification, Ordinary Least Squares Regression, Logistic Regression, Support Vector Machines, Ensemble Methods, Clustering Algorithms, Principal Component Analysis, Singular Value Decomposition, Independent Component Analysis)
• 2+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data as part of exploratory analysis, generate features, and other similar data science driven data handling
• 2+ years of experience leading workstreams or small teams
• Demonstrated expertise with one full life cycle analytics engagement across strategy, design and implementation.
• Bachelor's Degree in Engineering, Mathematics, Empirical Statistics or 4 years equivalent professional experience
• Travel up to 50% of the time (Monday – Thursday/Friday). (While 50% of travel is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice.)
Preferred:
• Experience architecting, designing, developing and deploying enterprise solutions which include components across the Artificial Intelligence spectrum such as NLP, Chatbots, Virtual Assistants, Computer Vision, and Cognitive Services
• Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras, Tensorflow, Scikit-learn, Numpy, SciPy
• Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) frameworks to process end to end data management life cycle
• Experience with Cloud services and ML tools e.g. (AWS, GCP, Azure)
• Familiarity with Scala, Java, C++, or other similar technological support languages
• Javascript experience at User Interface (UI) level
• Ability to work independently and manage multiple task assignments.
• Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
• Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.
• An advanced degree in the area of specialization
Recruiting tips
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
Benefits
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our people and culture
Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Learn more about our inclusive culture.
Professional development
From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career Show more details...
via Employment Crossing
schedule_type: Full-time
Job InformationHumanaData Scientist 2 (Remote)inTulsaOklahomaDescriptionThe Data Scientist 2 uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Data Scientist 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.ResponsibilitiesThe Data Scientist 2 develops, maintains,
Job InformationHumanaData Scientist 2 (Remote)inTulsaOklahomaDescriptionThe Data Scientist 2 uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Data Scientist 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.ResponsibilitiesThe Data Scientist 2 develops, maintains, and collects structured and unstructured data sets for analysis and reporting. Builds models, creates reports, and presentations to support business strategy and tactics. Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas. Exercises considerable latitude in determining objectives and approaches to assignments, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed. Follows established... guidelines/procedures.Required QualificationsBachelor's Degree and 4 years of applicable experience OR Master's Degree and 1 or more years of experienceExperience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutionsExperience working with and analyzing various types of data using Python, R or similar softwareExperience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reportingExperience in creating reports, projections, models, and presentations to support businessClear and concise oral and written communication skills, with a proven ability to translate complex methodologies and analytical results to higher-level business insights and key takeawaysMust be passionate about contributing to an organization focused on continuously improving consumer experiencesPreferred QualificationsMaster's DegreeExperience in Big Data environment, Microsoft AzureExperience using machine learning techniques such as neural networks, random forest, etc.Experience in a health care and/or Insurance settingAdditional InformationFor this job, associates are required to be fully COVID vaccinated, including booster or undergo weekly COVID testing and wear a face covering while at work. The weekly testing will need to be done through an approved Humana vendor, and unvaccinated associates should follow all social distancing and masking protocols if they are required to come into a Humana facility or work outside of their home. We are a healthcare company committed to putting health and safety first for our members, patients, associates, and the communities we serve.If progressed to offer, you will be required to:Provide proof of full vaccination, including booster or commit to testing protocols*OR *Provide proof of applicable exemption including any required supporting documentationMedical, religious, state and remote-only work exemptions are available.#DHA #LI-RemoteScheduled Weekly Hours40
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