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Most recent job postings at datascienceplus
via USAJobs
posted_at: 25 days agoschedule_type: Full-timesalary: 72,553 a year
The Department of Transportation's Volpe National Transportation Systems Center is seeking Data Scientists to support the development of data-driven programs to speed the adoption of innovative transportation technologies, policies, and practices. In particular, the employee will help to develop and apply data analysis and visualization techniques and tools in support of federal and state transportation programs.
The Department of Transportation's Volpe National Transportation Systems Center is seeking Data Scientists to support the development of data-driven programs to speed the adoption of innovative transportation technologies, policies, and practices. In particular, the employee will help to develop and apply data analysis and visualization techniques and tools in support of federal and state transportation programs.
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via USAJobs
posted_at: 27 days agoschedule_type: Full-timesalary: 139,395 a year
The Office of Inspector General (OIG), works within the U. S. Department of Transportation (DOT) to promote efficiency and effectiveness, and prevent or stop waste, fraud and abuse in departmental programs. OIG also consults with the Congress about programs in progress and proposed new laws and regulations. The Inspector General Act of 1978 gives the Office of Inspector General autonomy to do its work without interference.
The Office of Inspector General (OIG), works within the U. S. Department of Transportation (DOT) to promote efficiency and effectiveness, and prevent or stop waste, fraud and abuse in departmental programs. OIG also consults with the Congress about programs in progress and proposed new laws and regulations. The Inspector General Act of 1978 gives the Office of Inspector General autonomy to do its work without interference.
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via Capital One Careers
schedule_type: Full-time and Part-time
Center 2 (19050), United States of America, McLean, Virginia
Manager, Data Science - ML Automation and Code Quality...
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed
Center 2 (19050), United States of America, McLean, Virginia
Manager, Data Science - ML Automation and Code Quality...
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Retail Bank Data Science team has a relentless focus on innovation with a passion for improving customer experiences. For that, our team writes lots of custom Python and Bash code to develop and deploy advanced AI/ML techniques. We care very deeply about doing things the right way, automating, standardizing, and removing barriers to getting things done quickly. Whether it’s big or small data, our team’s ability to turn that data into insights and insights into great decisions, hinges upon the code that makes it all work. The more time we can save through code that runs flawlessly and without intervention, the more time we have to deliver new insights.
Role Description
In this role, you will:
• Lead our code quality initiative, defining the vision for the role and carrying it out across the Retail Bank
• Leverage expertise on platforms and software best practices to enable and improve data scientists’ code resiliency and performance
• Partner with data scientists in the Bank and across the company to develop code and repository quality standards (but not reinventing the wheel) and train data scientists to adopt and adhere to these standards with structured peer code reviews
• Develop or curate training for software development best practices for data scientist mastery on tools used on model build and execution platforms
• Devise roadmaps to ever increasing code quality maturity in our organization
• Communicate those standards and teach others how to achieve them
• Hold teams accountable for meeting the standards
• Host office hours or other avenues to assist data scientists in need of assistance on model build and execution platforms and tools
• Engage with the data science community to solicit feedback and lead virtual or in-person training sessions
• Develop and maintain up to date playbooks for the tools and development practices
• Evaluate existing ML pipelines and analyze computational efficiency using the latest in distributed storage and compute paradigms to optimize performance
• Present the code quality initiative and progress to both leaders and peers within the Bank and across the company
The Ideal Candidate is:
• Technical. You’re experienced with open source languages and how they’re used in artificial intelligence and machine learning. You understand what can and should be automated and standardized. Modular code powering real-time predictive applications running in the cloud is kinda your thing.
• A Teacher. You know your way around a complex, collaborative code base, but you still remember what it was like writing your first script. You can articulate the why, the what, and the how of writing modular, unit-tested code so others can get on your level. The only thing better than writing your own masterful Python package is coaching someone else to leave their beloved Notebook behind and learn to do the same.
• A Self-Starter. You will own the mission to define the structure that leads our team to eliminate errors and make work exceptionally transferable through leveraging existing libraries/platforms as well as creating new modules where needed. Overall, you help others achieve a high level of coding maturity and be self-sufficient when putting work into production on a cloud infrastructure.
• Detail Oriented. Pre-commit hooks are as automatic as putting your seatbelt on when you get behind the wheel. You appreciate elegance and efficiency in code. You believe the little things add up and you can show the value of paying attention to the finer points of coding.
• An Influencer: You work well with leaders and fellow data scientists to balance code quality needs with existing project timelines. You are able to incorporate opinions from various stakeholders to come up with a plan that serves the most good.
Basic Qualifications:
• Currently has, or is in the process of obtaining a Bachelor’s Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date
• At least 2 years’ experience in open source programming languages for large scale data analysis
• At least 2 years’ experience with machine learning
• At least 2 years’ experience with relational databases
Preferred Qualifications:
• PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
• At least 1 year of experience working with AWS
• At least 4 years’ experience in Python, particularly Pandas, Dask, or Spark for large scale data analysis
• At least 4 years’ experience with custom code-driven machine learning projects using packages such as scikit-learn, H2O, xgboost, PyTorch, JAX, etc. (i.e., not GUI-driven ML)
• At least 4 years’ experience with SQL
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC Show more details...
Manager, Data Science - ML Automation and Code Quality...
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Retail Bank Data Science team has a relentless focus on innovation with a passion for improving customer experiences. For that, our team writes lots of custom Python and Bash code to develop and deploy advanced AI/ML techniques. We care very deeply about doing things the right way, automating, standardizing, and removing barriers to getting things done quickly. Whether it’s big or small data, our team’s ability to turn that data into insights and insights into great decisions, hinges upon the code that makes it all work. The more time we can save through code that runs flawlessly and without intervention, the more time we have to deliver new insights.
Role Description
In this role, you will:
• Lead our code quality initiative, defining the vision for the role and carrying it out across the Retail Bank
• Leverage expertise on platforms and software best practices to enable and improve data scientists’ code resiliency and performance
• Partner with data scientists in the Bank and across the company to develop code and repository quality standards (but not reinventing the wheel) and train data scientists to adopt and adhere to these standards with structured peer code reviews
• Develop or curate training for software development best practices for data scientist mastery on tools used on model build and execution platforms
• Devise roadmaps to ever increasing code quality maturity in our organization
• Communicate those standards and teach others how to achieve them
• Hold teams accountable for meeting the standards
• Host office hours or other avenues to assist data scientists in need of assistance on model build and execution platforms and tools
• Engage with the data science community to solicit feedback and lead virtual or in-person training sessions
• Develop and maintain up to date playbooks for the tools and development practices
• Evaluate existing ML pipelines and analyze computational efficiency using the latest in distributed storage and compute paradigms to optimize performance
• Present the code quality initiative and progress to both leaders and peers within the Bank and across the company
The Ideal Candidate is:
• Technical. You’re experienced with open source languages and how they’re used in artificial intelligence and machine learning. You understand what can and should be automated and standardized. Modular code powering real-time predictive applications running in the cloud is kinda your thing.
• A Teacher. You know your way around a complex, collaborative code base, but you still remember what it was like writing your first script. You can articulate the why, the what, and the how of writing modular, unit-tested code so others can get on your level. The only thing better than writing your own masterful Python package is coaching someone else to leave their beloved Notebook behind and learn to do the same.
• A Self-Starter. You will own the mission to define the structure that leads our team to eliminate errors and make work exceptionally transferable through leveraging existing libraries/platforms as well as creating new modules where needed. Overall, you help others achieve a high level of coding maturity and be self-sufficient when putting work into production on a cloud infrastructure.
• Detail Oriented. Pre-commit hooks are as automatic as putting your seatbelt on when you get behind the wheel. You appreciate elegance and efficiency in code. You believe the little things add up and you can show the value of paying attention to the finer points of coding.
• An Influencer: You work well with leaders and fellow data scientists to balance code quality needs with existing project timelines. You are able to incorporate opinions from various stakeholders to come up with a plan that serves the most good.
Basic Qualifications:
• Currently has, or is in the process of obtaining a Bachelor’s Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date
• At least 2 years’ experience in open source programming languages for large scale data analysis
• At least 2 years’ experience with machine learning
• At least 2 years’ experience with relational databases
Preferred Qualifications:
• PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
• At least 1 year of experience working with AWS
• At least 4 years’ experience in Python, particularly Pandas, Dask, or Spark for large scale data analysis
• At least 4 years’ experience with custom code-driven machine learning projects using packages such as scikit-learn, H2O, xgboost, PyTorch, JAX, etc. (i.e., not GUI-driven ML)
• At least 4 years’ experience with SQL
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC Show more details...
via Merck Jobs
posted_at: 4 days agoschedule_type: Full-time
Job Description
Our Artificial Intelligence Machine Learning (AI/ML) capabilities are critical accelerators to our mission to delivering towards inventing new medicines that save and improve lives. Core to the Data, AI and Genome Sciences (DAGS) function is an AI/ML-first approach to improving target and biomarker discovery, validation and selection and elucidating complex disease mechanisms. As... Director of Data Science, AI/ML Platform Lead you
Job Description
Our Artificial Intelligence Machine Learning (AI/ML) capabilities are critical accelerators to our mission to delivering towards inventing new medicines that save and improve lives. Core to the Data, AI and Genome Sciences (DAGS) function is an AI/ML-first approach to improving target and biomarker discovery, validation and selection and elucidating complex disease mechanisms. As... Director of Data Science, AI/ML Platform Lead you Develop and architect a modular framework to align, integrate, develop, and deploy different AI/ML modeling approaches to streamline insight generation. You will be part of a cross-functional team of computational biologists, bioinformaticians, data scientists, software engineers, and machine learning engineers that strive to identify therapeutic targets. You will report to the Executive Director, Head of AI/ML
Primary Responsibilities:
• Develop and architect a modular framework to align, integrate, develop, and deploy different AI/ML modeling approaches to streamline insight generation.
• Develop and architect a modular framework to align and integrate experimental data and ML/AI modeling results to facilitate wet-lab and dry-lab collaboration/integration.
• Collaborate with cross-functional teams to understand project goals and design data-driven framework for target discovery.
• Utilize advanced statistical methods, develop machine learning models and methodologies to identify potential drug targets, leveraging large-scale omics data, images, and clinical information.
• Develop methodologies to integrate and impute diverse datasets, including omics, images, and clinical information to uncover disease biology and novel drug targets.
Required Experience and Skills:
• PhD in quantitative field (computer science, math, physics, engineering) and 8+ years experience in developing and deploying ML/AI models and methodologies, including statistical methods, machine learning approaches such as variational autoencoder, probabilistic approaches, deep learning, and foundation models OR MS in quantitative or related field and 10+ years of experience OR BS and 14+ years of experience
• Strong experience with Python libraries for data analysis (e.g. Pandas, NumPy, Matplotlib) and machine learning (e.g. scikit-learn, PyTorch)
• Experience with ML model life cycle, MLOps, and/or SDK development.
• Experience with healthcare and life science data is a plus.
• Interest in learning disease biology is a must, prior experience with healthcare and life science data is preferred.
• Excellent communication skills and ability to work collaboratively in multi-disciplinary team.
#EligibleforERP #DATASCIENCE2020
NOTICE FOR INTERNAL APPLICANTS
In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions.
If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separation package, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor.
Employees working in roles that the Company determines require routine collaboration with external stakeholders, such as customer-facing commercial, or research-based roles, will be expected to comply not only with Company policy but also with policies established by such external stakeholders (for example, a requirement to be vaccinated against COVID-19 in order to access a facility or meet with stakeholders). Please understand that, as permitted by applicable law, if you have not been vaccinated against COVID-19 and an essential function of your job is to call on external stakeholders who require vaccination to enter their premises or engage in face-to-face meetings, then your employment may pose an undue burden to business operations, in which case you may not be offered employment, or your employment could be terminated. Please also note that, where permitted by applicable law, the Company reserves the right to require COVID-19 vaccinations for positions, such as in Global Employee Health, where the Company determines in its discretion that the nature of the role presents an increased risk of disease transmission.
Current Employees apply HERE (https://wd5.myworkday.com/msd/d/inst/1422$1533/rel-task/3001$14.htmld)
Current Contingent Workers apply HERE (https://wd5.myworkday.com/msd/d/task/1422$4020.htmld)
US and Puerto Rico Residents Only:
Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here (https://survey.sogosurvey.com/r/aCdfqL) if you need an accommodation during the application or hiring process.
We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:
EEOC Know Your Rights (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf)
EEOC GINA Supplement
Pay Transparency Nondiscrimination (https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp_%20English_formattedESQA508c.pdf)
We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.
Learn more about your rights, including under California, Colorado and other US State Acts (https://www.msdprivacy.com/us/en/CCPA-notice/)
U.S. Hybrid Work Model
Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, generally Tuesday, Wednesday and either Monday or Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence. This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.
Under New York State, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.
Expected salary range:
$184,800.00 - $290,900.00
Available benefits include bonus eligibility, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. For Washington State Jobs, a summary of benefits is listed here (https://www.benefitsatmerck.com/) .
Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
Regular
Relocation:
Domestic
VISA Sponsorship:
Yes
Travel Requirements:
10%
Flexible Work Arrangements:
Remote
Shift:
1st - Day
Valid Driving License:
No
Hazardous Material(s):
n/a
Required Skills:
Data Engineering, Data Modeling, Data Science, Data Visualization, Deep Learning, Machine Learning, Project Management, Software Development
Preferred Skills:
Life Science, Omics
Requisition ID: R285511 Show more details...
Our Artificial Intelligence Machine Learning (AI/ML) capabilities are critical accelerators to our mission to delivering towards inventing new medicines that save and improve lives. Core to the Data, AI and Genome Sciences (DAGS) function is an AI/ML-first approach to improving target and biomarker discovery, validation and selection and elucidating complex disease mechanisms. As... Director of Data Science, AI/ML Platform Lead you Develop and architect a modular framework to align, integrate, develop, and deploy different AI/ML modeling approaches to streamline insight generation. You will be part of a cross-functional team of computational biologists, bioinformaticians, data scientists, software engineers, and machine learning engineers that strive to identify therapeutic targets. You will report to the Executive Director, Head of AI/ML
Primary Responsibilities:
• Develop and architect a modular framework to align, integrate, develop, and deploy different AI/ML modeling approaches to streamline insight generation.
• Develop and architect a modular framework to align and integrate experimental data and ML/AI modeling results to facilitate wet-lab and dry-lab collaboration/integration.
• Collaborate with cross-functional teams to understand project goals and design data-driven framework for target discovery.
• Utilize advanced statistical methods, develop machine learning models and methodologies to identify potential drug targets, leveraging large-scale omics data, images, and clinical information.
• Develop methodologies to integrate and impute diverse datasets, including omics, images, and clinical information to uncover disease biology and novel drug targets.
Required Experience and Skills:
• PhD in quantitative field (computer science, math, physics, engineering) and 8+ years experience in developing and deploying ML/AI models and methodologies, including statistical methods, machine learning approaches such as variational autoencoder, probabilistic approaches, deep learning, and foundation models OR MS in quantitative or related field and 10+ years of experience OR BS and 14+ years of experience
• Strong experience with Python libraries for data analysis (e.g. Pandas, NumPy, Matplotlib) and machine learning (e.g. scikit-learn, PyTorch)
• Experience with ML model life cycle, MLOps, and/or SDK development.
• Experience with healthcare and life science data is a plus.
• Interest in learning disease biology is a must, prior experience with healthcare and life science data is preferred.
• Excellent communication skills and ability to work collaboratively in multi-disciplinary team.
#EligibleforERP #DATASCIENCE2020
NOTICE FOR INTERNAL APPLICANTS
In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions.
If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separation package, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor.
Employees working in roles that the Company determines require routine collaboration with external stakeholders, such as customer-facing commercial, or research-based roles, will be expected to comply not only with Company policy but also with policies established by such external stakeholders (for example, a requirement to be vaccinated against COVID-19 in order to access a facility or meet with stakeholders). Please understand that, as permitted by applicable law, if you have not been vaccinated against COVID-19 and an essential function of your job is to call on external stakeholders who require vaccination to enter their premises or engage in face-to-face meetings, then your employment may pose an undue burden to business operations, in which case you may not be offered employment, or your employment could be terminated. Please also note that, where permitted by applicable law, the Company reserves the right to require COVID-19 vaccinations for positions, such as in Global Employee Health, where the Company determines in its discretion that the nature of the role presents an increased risk of disease transmission.
Current Employees apply HERE (https://wd5.myworkday.com/msd/d/inst/1422$1533/rel-task/3001$14.htmld)
Current Contingent Workers apply HERE (https://wd5.myworkday.com/msd/d/task/1422$4020.htmld)
US and Puerto Rico Residents Only:
Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here (https://survey.sogosurvey.com/r/aCdfqL) if you need an accommodation during the application or hiring process.
We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:
EEOC Know Your Rights (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf)
EEOC GINA Supplement
Pay Transparency Nondiscrimination (https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp_%20English_formattedESQA508c.pdf)
We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.
Learn more about your rights, including under California, Colorado and other US State Acts (https://www.msdprivacy.com/us/en/CCPA-notice/)
U.S. Hybrid Work Model
Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, generally Tuesday, Wednesday and either Monday or Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence. This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.
Under New York State, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.
Expected salary range:
$184,800.00 - $290,900.00
Available benefits include bonus eligibility, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. For Washington State Jobs, a summary of benefits is listed here (https://www.benefitsatmerck.com/) .
Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
Regular
Relocation:
Domestic
VISA Sponsorship:
Yes
Travel Requirements:
10%
Flexible Work Arrangements:
Remote
Shift:
1st - Day
Valid Driving License:
No
Hazardous Material(s):
n/a
Required Skills:
Data Engineering, Data Modeling, Data Science, Data Visualization, Deep Learning, Machine Learning, Project Management, Software Development
Preferred Skills:
Life Science, Omics
Requisition ID: R285511 Show more details...
via Weber Shandwick
schedule_type: Full-time
Vice President, Applied Data Science
We are looking for a Vice President, Applied Data Science to be part of a successful data science team in a high-growth environment. This person will lead a team tasked with developing advanced analytics solutions to help clients measure and optimize the impact of their marketing and communications activities, including experimentation, media mix modeling... regression and Bayesian based methods and causal modeling.
•
Vice President, Applied Data Science
We are looking for a Vice President, Applied Data Science to be part of a successful data science team in a high-growth environment. This person will lead a team tasked with developing advanced analytics solutions to help clients measure and optimize the impact of their marketing and communications activities, including experimentation, media mix modeling... regression and Bayesian based methods and causal modeling.
• Curious and creative. You thrive on bringing definition to big, undefined problems. You love asking questions, and you love pushing hard to find the answers. You possess a talent for clear, persuasive communication, effectively engaging others and demonstrating the value of your solutions.
• You have hands-on experience developing data science solutions from concept to production using open-source tools and modern cloud computing platforms.
• Statistically-minded. You have built models, validated them and back tested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with marketing mix modeling, causal modeling, Bayesian analysis, multivariate and time series analysis and A/B testing. Solid understanding of fundamental statistical concepts (probability, multi-variate testing), experimental design, and measurement methodologies, particularly marketing mix and regression-based techniques.
• Experience with analytics and data science methodologies designed to evaluate marketing ROI or ROAS.
• Excellent communication skills with a history of building and maintaining internal and client relationships.
• Experience leading highly successful teams.
Essential Qualifications:
• Degree in a quantitative field such as Mathematics, Statistics, Economics, Engineering, Computer Science, or equivalent experience.
• Excellent communicator with good presentation skills
• Solid knowledge of advanced machine learning techniques (ex. Arima, Bayesian, Logistic Ridge regression, XG boost) and other algorithms, and integration into analytics workflows
• 8+ years Data Science experience.
• 3+ years’ experience leading Data Science teams and managing deliverables.
• Proficiency coding in Python, R or equivalent
• Experience with marketing analytics and media mix modeling
About Weber Shandwick
Weber Shandwick is a leading global communications and engagement firm in 80 cities across 34 countries, with a network extending to 128 cities in 81 countries. The firm’s diverse team of strategists, analysts, producers, designers, developers and campaign activators has won the most prestigious awards in the world for innovative, creative approaches and impactful work. Weber Shandwick was the only public relations agency included on the Advertising AgeAgency A-list in 2014 and 2015 and the only PR firm designated an A-List Agency Standout in 2017. Weber Shandwick was honored as PRWeek’s Global Agency of the Year in 2015, 2016 and 2017, The Holmes Report’s Global Agency of the Year in 2010, 2012, 2014, 2015 and 2017, and The Holmes Report’sGlobal Digital Agency of the Year in 2016.
The firm deploys deep expertise across sectors and specialty areas, including consumer marketing, corporate reputation, healthcare, technology, public affairs, financial services, employee engagement, social impact, financial communications and crisis management, using proprietary social, digital and analytics methodologies. Weber Shandwick is part of the Interpublic Group (NYSE: IPG). For more information, visit http://www.webershandwick.com.
The Weber Shandwick Collective recognizes that your health and wellbeing are a priority. This is why we offer a full suite of benefits including:
• Medical
• Dental
• Vision
• 401k (with employer match)
• Tuition Reimbursement
• Juice Money - $60 monthly reimbursement to be used towards purchases that nourish your health, mind, body, and soul
• MyDays – Flexible holiday schedules
• Short-Term Disability
• Paid Employee Family Leave
• Family Building Benefit
Weber Shandwick is proud to be an Equal Opportunity/Affirmative Action employer. Weber Shandwick recruits qualified applicants without regard to race, color, religion, gender, age, ethnic or national origin, protected veteran status, physical or mental disability, sexual orientation, gender identity, marital status or citizenship status.
#LI-MA1 Show more details...
We are looking for a Vice President, Applied Data Science to be part of a successful data science team in a high-growth environment. This person will lead a team tasked with developing advanced analytics solutions to help clients measure and optimize the impact of their marketing and communications activities, including experimentation, media mix modeling... regression and Bayesian based methods and causal modeling.
• Curious and creative. You thrive on bringing definition to big, undefined problems. You love asking questions, and you love pushing hard to find the answers. You possess a talent for clear, persuasive communication, effectively engaging others and demonstrating the value of your solutions.
• You have hands-on experience developing data science solutions from concept to production using open-source tools and modern cloud computing platforms.
• Statistically-minded. You have built models, validated them and back tested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with marketing mix modeling, causal modeling, Bayesian analysis, multivariate and time series analysis and A/B testing. Solid understanding of fundamental statistical concepts (probability, multi-variate testing), experimental design, and measurement methodologies, particularly marketing mix and regression-based techniques.
• Experience with analytics and data science methodologies designed to evaluate marketing ROI or ROAS.
• Excellent communication skills with a history of building and maintaining internal and client relationships.
• Experience leading highly successful teams.
Essential Qualifications:
• Degree in a quantitative field such as Mathematics, Statistics, Economics, Engineering, Computer Science, or equivalent experience.
• Excellent communicator with good presentation skills
• Solid knowledge of advanced machine learning techniques (ex. Arima, Bayesian, Logistic Ridge regression, XG boost) and other algorithms, and integration into analytics workflows
• 8+ years Data Science experience.
• 3+ years’ experience leading Data Science teams and managing deliverables.
• Proficiency coding in Python, R or equivalent
• Experience with marketing analytics and media mix modeling
About Weber Shandwick
Weber Shandwick is a leading global communications and engagement firm in 80 cities across 34 countries, with a network extending to 128 cities in 81 countries. The firm’s diverse team of strategists, analysts, producers, designers, developers and campaign activators has won the most prestigious awards in the world for innovative, creative approaches and impactful work. Weber Shandwick was the only public relations agency included on the Advertising AgeAgency A-list in 2014 and 2015 and the only PR firm designated an A-List Agency Standout in 2017. Weber Shandwick was honored as PRWeek’s Global Agency of the Year in 2015, 2016 and 2017, The Holmes Report’s Global Agency of the Year in 2010, 2012, 2014, 2015 and 2017, and The Holmes Report’sGlobal Digital Agency of the Year in 2016.
The firm deploys deep expertise across sectors and specialty areas, including consumer marketing, corporate reputation, healthcare, technology, public affairs, financial services, employee engagement, social impact, financial communications and crisis management, using proprietary social, digital and analytics methodologies. Weber Shandwick is part of the Interpublic Group (NYSE: IPG). For more information, visit http://www.webershandwick.com.
The Weber Shandwick Collective recognizes that your health and wellbeing are a priority. This is why we offer a full suite of benefits including:
• Medical
• Dental
• Vision
• 401k (with employer match)
• Tuition Reimbursement
• Juice Money - $60 monthly reimbursement to be used towards purchases that nourish your health, mind, body, and soul
• MyDays – Flexible holiday schedules
• Short-Term Disability
• Paid Employee Family Leave
• Family Building Benefit
Weber Shandwick is proud to be an Equal Opportunity/Affirmative Action employer. Weber Shandwick recruits qualified applicants without regard to race, color, religion, gender, age, ethnic or national origin, protected veteran status, physical or mental disability, sexual orientation, gender identity, marital status or citizenship status.
#LI-MA1 Show more details...
via Capital One Careers
posted_at: 12 days agoschedule_type: Full-time and Part-time
Center 2 (19050), United States of America, McLean, Virginia
Principal Data Scientist - AI Foundations, Personalization...
At Capital One, we think big and do big things. We are a Top-10 bank by deposits—a high-tech company, scientific laboratory, and a nationally recognized brand. Our products reach tens of millions of consumers and have been recognized by numerous prestigious awards for their customer-friendliness. Capital One was the first
Center 2 (19050), United States of America, McLean, Virginia
Principal Data Scientist - AI Foundations, Personalization...
At Capital One, we think big and do big things. We are a Top-10 bank by deposits—a high-tech company, scientific laboratory, and a nationally recognized brand. Our products reach tens of millions of consumers and have been recognized by numerous prestigious awards for their customer-friendliness. Capital One was the first major bank to move to cloud computing and to publish APIs for the Open Banking future. AI is transforming every industry, at Capital One you will help shape how it transforms financial services.
Team Description:
The Personalization team in AI Foundations builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging AI/ML technologies.
In this role, you will:
• Partner with a cross-functional team of data scientists, software engineers, product managers, and designers to deliver AI powered products that customers love.
• Leverage a broad stack of technologies — PyTorch, Keras, TensorFlow, Scikit-learn, transformers, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
• Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
• Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications in the area of deep learning, natural language processing and recommendation & personalization and seek out opportunities to apply them.
• Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
• With an engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code to existing products.
• A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
Basic Qualifications
• Currently has, or is in the process of obtaining a Bachelor’s Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 3 years in data analytics, or currently has, or is in the process of obtaining PhD, with an expectation that required degree will be obtained on or before the scheduled start date
• At least 1 year of experience in open source programming languages for large scale data analysis
• At least 1 year of experience with machine learning
• At least 1 year of experience with relational databases
Preferred Qualifications
• Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
• Specialized experience in the fields of Information Retrieval, NLP, Data-centric AI, and Knowledge Graphs
• At least 3 years’ experience in PyTorch/Tensorflow
• At least 3 years’ experience with machine learning
• At least 1 year of experience working with AWS
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York City (Hybrid On-Site): $165,100 - $188,500 for Data Science PhD
San Francisco, California (Hybrid On-site): $174,900 - $199,700 for Data Science PhD
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC Show more details...
Principal Data Scientist - AI Foundations, Personalization...
At Capital One, we think big and do big things. We are a Top-10 bank by deposits—a high-tech company, scientific laboratory, and a nationally recognized brand. Our products reach tens of millions of consumers and have been recognized by numerous prestigious awards for their customer-friendliness. Capital One was the first major bank to move to cloud computing and to publish APIs for the Open Banking future. AI is transforming every industry, at Capital One you will help shape how it transforms financial services.
Team Description:
The Personalization team in AI Foundations builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging AI/ML technologies.
In this role, you will:
• Partner with a cross-functional team of data scientists, software engineers, product managers, and designers to deliver AI powered products that customers love.
• Leverage a broad stack of technologies — PyTorch, Keras, TensorFlow, Scikit-learn, transformers, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
• Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
• Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications in the area of deep learning, natural language processing and recommendation & personalization and seek out opportunities to apply them.
• Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
• With an engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code to existing products.
• A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
Basic Qualifications
• Currently has, or is in the process of obtaining a Bachelor’s Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 3 years in data analytics, or currently has, or is in the process of obtaining PhD, with an expectation that required degree will be obtained on or before the scheduled start date
• At least 1 year of experience in open source programming languages for large scale data analysis
• At least 1 year of experience with machine learning
• At least 1 year of experience with relational databases
Preferred Qualifications
• Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
• Specialized experience in the fields of Information Retrieval, NLP, Data-centric AI, and Knowledge Graphs
• At least 3 years’ experience in PyTorch/Tensorflow
• At least 3 years’ experience with machine learning
• At least 1 year of experience working with AWS
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York City (Hybrid On-Site): $165,100 - $188,500 for Data Science PhD
San Francisco, California (Hybrid On-site): $174,900 - $199,700 for Data Science PhD
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC Show more details...
via ZipRecruiter
schedule_type: Full-timesalary: 122,198 a year
Positions under this announcement are being filled using a Direct Hire Authority (DHA).
Click on "Learn more about this agency" button below to view Eligibilities being considered and other IMPORTANT information...
WHERE CAN I FIND OUT MORE ABOUT OTHER IRS CAREERS? Visit us on the web at www.jobs.irs.govQualifications: Federal experience is not required. The experience may have been gained in the public sector, private sector or Volunteer Service.
Positions under this announcement are being filled using a Direct Hire Authority (DHA).
Click on "Learn more about this agency" button below to view Eligibilities being considered and other IMPORTANT information...
WHERE CAN I FIND OUT MORE ABOUT OTHER IRS CAREERS? Visit us on the web at www.jobs.irs.govQualifications: Federal experience is not required. The experience may have been gained in the public sector, private sector or Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement OR time of referral:
BASIC REQUIREMENT : EDUCATION: A degree in 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: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.
In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below:
SPECIALIZED EXPERIENCE: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study. Experience using scientific methods to plan, design, conduct, and present data science projects to stakeholders. Experience planning and executing a variety of projects and in making recommendations requiring technical and administrative judgment. Experience developing long- and short-term program plans, assess resource utilization, initiate, or recommend new or revised processes and procedures. Experience applying statutory, regulatory and policy requirements and guidelines to analyze data, draw valid conclusions, formulate policy or procedures. Experience applying data preparation methods, feature creation engineering, exploratory data analysis, model creation, and data visualization applied to advanced analytics, machine learning and artificial intelligence. Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming. Experience with research and study design from the formulation of concepts through specification and analysis of output to the presentation of conclusions. Experience with project planning techniques along with negotiating with management to accept and implement recommendations. Experience preparing and analyzing structured and unstructured datasets. Experience coding in various programming languages. Analytic platforms, artificial intelligence (AI), data visualization and data reporting tools and scripting tools to conduct data science projects, as well as instruct others. Experience preparing written and oral communications, to produce authoritative reports, position papers, briefings, and presentations that effectively communicates ideas to IRS executives, managers, and technical experts.
For more information on qualifications please refer to OPM's Qualifications Standards.Education: For positions with an education requirement, or if you are qualifying for this position by substituting education or training for experience, submit a copy of your transcripts or equivalent. An official transcript will be required if you are selected.
A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here for Foreign Education Credentialing instructions.Employment Type: FULL_TIME Show more details...
Click on "Learn more about this agency" button below to view Eligibilities being considered and other IMPORTANT information...
WHERE CAN I FIND OUT MORE ABOUT OTHER IRS CAREERS? Visit us on the web at www.jobs.irs.govQualifications: Federal experience is not required. The experience may have been gained in the public sector, private sector or Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement OR time of referral:
BASIC REQUIREMENT : EDUCATION: A degree in 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: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.
In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below:
SPECIALIZED EXPERIENCE: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study. Experience using scientific methods to plan, design, conduct, and present data science projects to stakeholders. Experience planning and executing a variety of projects and in making recommendations requiring technical and administrative judgment. Experience developing long- and short-term program plans, assess resource utilization, initiate, or recommend new or revised processes and procedures. Experience applying statutory, regulatory and policy requirements and guidelines to analyze data, draw valid conclusions, formulate policy or procedures. Experience applying data preparation methods, feature creation engineering, exploratory data analysis, model creation, and data visualization applied to advanced analytics, machine learning and artificial intelligence. Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming. Experience with research and study design from the formulation of concepts through specification and analysis of output to the presentation of conclusions. Experience with project planning techniques along with negotiating with management to accept and implement recommendations. Experience preparing and analyzing structured and unstructured datasets. Experience coding in various programming languages. Analytic platforms, artificial intelligence (AI), data visualization and data reporting tools and scripting tools to conduct data science projects, as well as instruct others. Experience preparing written and oral communications, to produce authoritative reports, position papers, briefings, and presentations that effectively communicates ideas to IRS executives, managers, and technical experts.
For more information on qualifications please refer to OPM's Qualifications Standards.Education: For positions with an education requirement, or if you are qualifying for this position by substituting education or training for experience, submit a copy of your transcripts or equivalent. An official transcript will be required if you are selected.
A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here for Foreign Education Credentialing instructions.Employment Type: FULL_TIME Show more details...
via Amgen Jobs
posted_at: 11 days agoschedule_type: Full-time and Internship
HOW MIGHT YOU DEFY IMAGINATION?
Do more with the knowledge you’re working hard to acquire and the passion you already have. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies, reaching over 10 million patients worldwide. Through this program, you will acquire the valuable hands-on skills and... foundational experience to become the professional
HOW MIGHT YOU DEFY IMAGINATION?
Do more with the knowledge you’re working hard to acquire and the passion you already have. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies, reaching over 10 million patients worldwide. Through this program, you will acquire the valuable hands-on skills and... foundational experience to become the professional you are meant to be in your chosen field.
Undergrad Intern - Data Science
Live
This could be your everyday
Let’s do this. Let’s change the world. OT&DS (Operations Transformation and Digital Strategy) is an innovation engine for Amgen Operations to accomplish its business priorities through application of novel digital solutions. The team’s scope encompasses Amgen’s end-to-end Operations across our global manufacturing network, with direct connections into each of the other Operations functions, including Quality, Process Development, Global Supply Chain, Global Engineering, and Manufacturing. Because of its position in the organization, OT&DS provides its team members with a unique breadth of exposure, with opportunities to apply data science skills shape Amgen’s digital strategy and to engage with peers and leaders through the day-to-day execution of your work.
As a Data Science intern, you will work in a Product Team collaborating with other talented Data Scientists, Data Engineers, and Product Owners to design, develop and deploy digital solutions to solve complex, cross-functional problems for Amgen Operations. Examples of previous and current product domains include plant scheduling, supply chain management, post-market surveillance, environmental sustainability, and inventory/scrap. During the internship will own the delivery of key analyses and feature components for the product you are working on.
Key Responsibilities:
• Problem Identification: Engage with the product owner and stakeholders to identify pain points and problems existing in processes. Collaborate with team members to brainstorm and come up with innovative solutions.
• Data Wrangling and Exploration: Dive into complex, multidimensional datasets from diverse data sources. Employ data wrangling techniques to clean, preprocess and integrate data, ensuring its reliability and relevance for analytics.
• Advanced Analytics and Modeling: Employ techniques in statistics, machine learning, and data visualization to get insights from data. Participate in building models with other fellow Data Scientists that drive proactive decision-making, resource allocation and process improvement.
• Agile Solution Development: Collaborate with product owner and SMEs to translate problems into digital solutions. Embrace an agile development approach and iterate solutions based on feedback from end users.
• Communication and Collaboration: Present your solutions to non-technical stakeholders and communicate complex technical concepts to them. Collaborate seamlessly with other data scientists and engineers. Share your insights and learning.
Win
Here’s what it takes to Win
We are all different, yet we all use our unique contributions to serve patients. The highly-motivated individual we seek is a standout colleague with these qualifications:
Basic Qualifications
Amgen requires that all individuals applying for an undergrad internship or a co-op assignment at Amgen must meet the following criteria:
• 18 years or older
• Currently enrolled in a full-time Bachelor’s Degree program from an accredited college or university with a 3.0 minimum GPA or equivalent
• Completion of one year of study from an accredited college or university prior to the internship commencing
• Enrolled in a full-time Bachelor’s degree program following the potential internship or co-op assignment with an accredited college or university
• Must not be employed at the time the internship starts
• Student must be located in the United States for the duration of the internship OR co-op
Preferred Qualifications
• Familiarity with statistics, optimization, and Machine Learning
• Experience with programming (Python and associated data packages such as Pandas and PySpark will be a plus)
• Experience with data visualization
• Familiarity with Agile and Scrum (optional – training can be pursued on the job)
• Independent, self-motivated, organized, and able to multi-task
• Skilled in communication, facilitation, and collaboration
• Willing to embrace a team-based culture that relies on collaboration for effective decision-making
• Curiosity, willingness to ask for help and to learn from others, enthusiasm to share unique knowledge with other team members
Thrive
Some of the vast rewards of working here
As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth in addition to their well-being:
The base pay range for this opportunity in the U.S. is $24.70 - $28.30 per hour.
• Build a network of colleagues that will endure and grow throughout your time with us and beyond.
• Bring your authentic self to the table and become the professional you’re inspired to be through accepting a culture that values the diversity of thought and experience and will flex to your strengths and possibilities.
• Participate in executive and social networking events, as well as community volunteer projects.
Apply now
for an internship that defies imagination
If you feel like you're part of something bigger, it's because you are. Join us.
careers.amgen.com Please search for Keyword R-183462 Show more details...
Do more with the knowledge you’re working hard to acquire and the passion you already have. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies, reaching over 10 million patients worldwide. Through this program, you will acquire the valuable hands-on skills and... foundational experience to become the professional you are meant to be in your chosen field.
Undergrad Intern - Data Science
Live
This could be your everyday
Let’s do this. Let’s change the world. OT&DS (Operations Transformation and Digital Strategy) is an innovation engine for Amgen Operations to accomplish its business priorities through application of novel digital solutions. The team’s scope encompasses Amgen’s end-to-end Operations across our global manufacturing network, with direct connections into each of the other Operations functions, including Quality, Process Development, Global Supply Chain, Global Engineering, and Manufacturing. Because of its position in the organization, OT&DS provides its team members with a unique breadth of exposure, with opportunities to apply data science skills shape Amgen’s digital strategy and to engage with peers and leaders through the day-to-day execution of your work.
As a Data Science intern, you will work in a Product Team collaborating with other talented Data Scientists, Data Engineers, and Product Owners to design, develop and deploy digital solutions to solve complex, cross-functional problems for Amgen Operations. Examples of previous and current product domains include plant scheduling, supply chain management, post-market surveillance, environmental sustainability, and inventory/scrap. During the internship will own the delivery of key analyses and feature components for the product you are working on.
Key Responsibilities:
• Problem Identification: Engage with the product owner and stakeholders to identify pain points and problems existing in processes. Collaborate with team members to brainstorm and come up with innovative solutions.
• Data Wrangling and Exploration: Dive into complex, multidimensional datasets from diverse data sources. Employ data wrangling techniques to clean, preprocess and integrate data, ensuring its reliability and relevance for analytics.
• Advanced Analytics and Modeling: Employ techniques in statistics, machine learning, and data visualization to get insights from data. Participate in building models with other fellow Data Scientists that drive proactive decision-making, resource allocation and process improvement.
• Agile Solution Development: Collaborate with product owner and SMEs to translate problems into digital solutions. Embrace an agile development approach and iterate solutions based on feedback from end users.
• Communication and Collaboration: Present your solutions to non-technical stakeholders and communicate complex technical concepts to them. Collaborate seamlessly with other data scientists and engineers. Share your insights and learning.
Win
Here’s what it takes to Win
We are all different, yet we all use our unique contributions to serve patients. The highly-motivated individual we seek is a standout colleague with these qualifications:
Basic Qualifications
Amgen requires that all individuals applying for an undergrad internship or a co-op assignment at Amgen must meet the following criteria:
• 18 years or older
• Currently enrolled in a full-time Bachelor’s Degree program from an accredited college or university with a 3.0 minimum GPA or equivalent
• Completion of one year of study from an accredited college or university prior to the internship commencing
• Enrolled in a full-time Bachelor’s degree program following the potential internship or co-op assignment with an accredited college or university
• Must not be employed at the time the internship starts
• Student must be located in the United States for the duration of the internship OR co-op
Preferred Qualifications
• Familiarity with statistics, optimization, and Machine Learning
• Experience with programming (Python and associated data packages such as Pandas and PySpark will be a plus)
• Experience with data visualization
• Familiarity with Agile and Scrum (optional – training can be pursued on the job)
• Independent, self-motivated, organized, and able to multi-task
• Skilled in communication, facilitation, and collaboration
• Willing to embrace a team-based culture that relies on collaboration for effective decision-making
• Curiosity, willingness to ask for help and to learn from others, enthusiasm to share unique knowledge with other team members
Thrive
Some of the vast rewards of working here
As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth in addition to their well-being:
The base pay range for this opportunity in the U.S. is $24.70 - $28.30 per hour.
• Build a network of colleagues that will endure and grow throughout your time with us and beyond.
• Bring your authentic self to the table and become the professional you’re inspired to be through accepting a culture that values the diversity of thought and experience and will flex to your strengths and possibilities.
• Participate in executive and social networking events, as well as community volunteer projects.
Apply now
for an internship that defies imagination
If you feel like you're part of something bigger, it's because you are. Join us.
careers.amgen.com Please search for Keyword R-183462 Show more details...
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