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Most recent job postings at sciencetrends
via LinkedIn
posted_at: 18 days agoschedule_type: Full-time
Ayesa is a Spanish multinational company that offers engineering, technology and consulting services. It was founded in 1966 and is headquartered in Seville, Spain.
Ayesa operates in more than 20 countries and has a workforce of more than 12,000 employees...
Ayesa is looking for a Data Scientist in the USA to work in projects for an important Electricity Company.
About the role
As a Data Scientist, you will be responsible for using data to drive
Ayesa is a Spanish multinational company that offers engineering, technology and consulting services. It was founded in 1966 and is headquartered in Seville, Spain.
Ayesa operates in more than 20 countries and has a workforce of more than 12,000 employees...
Ayesa is looking for a Data Scientist in the USA to work in projects for an important Electricity Company.
About the role
As a Data Scientist, you will be responsible for using data to drive business decisions. You will work with a team of engineers, product managers, and other data scientists to collect, analyze, and interpret data. You will also build and deploy machine learning models to improve our products and services.
Responsibilities
• Collect and clean data from a variety of sources
• Analyze data using statistical and machine learning techniques
• Build and deploy machine learning and forecasting models
• Communicate findings to stakeholders
• Stay up-to-date on the latest data science trends
Qualifications
• Master's degree in Data Science, Computer Science, Machine Learning, AI or a related field
• 3+ years of experience in data science
• Strong programming skills in Python, Java in microservices architecture
• High mathematical knowledge in algebra, predictive, statistical and algorithmic calculations.
• Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience with cloud computing platforms such as AWS, Azure, or GCP
• Excellent communication and presentation skills
Benefits
• Competitive salary and benefits
• Opportunity to work on cutting-edge data science projects
• Collaborative and supportive work environment
• Chance to make a real impact on the company and its customers Show more details...
Ayesa operates in more than 20 countries and has a workforce of more than 12,000 employees...
Ayesa is looking for a Data Scientist in the USA to work in projects for an important Electricity Company.
About the role
As a Data Scientist, you will be responsible for using data to drive business decisions. You will work with a team of engineers, product managers, and other data scientists to collect, analyze, and interpret data. You will also build and deploy machine learning models to improve our products and services.
Responsibilities
• Collect and clean data from a variety of sources
• Analyze data using statistical and machine learning techniques
• Build and deploy machine learning and forecasting models
• Communicate findings to stakeholders
• Stay up-to-date on the latest data science trends
Qualifications
• Master's degree in Data Science, Computer Science, Machine Learning, AI or a related field
• 3+ years of experience in data science
• Strong programming skills in Python, Java in microservices architecture
• High mathematical knowledge in algebra, predictive, statistical and algorithmic calculations.
• Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience with cloud computing platforms such as AWS, Azure, or GCP
• Excellent communication and presentation skills
Benefits
• Competitive salary and benefits
• Opportunity to work on cutting-edge data science projects
• Collaborative and supportive work environment
• Chance to make a real impact on the company and its customers Show more details...
via FedEx Careers
schedule_type: Full-timesalary: 8,413–14,201 a month
The Data Scientist team owns and is responsible for all major data science initiatives. Expected to use and deploy cutting edge data science and machine learning tools and methods in all Dataworks projects, platforms, and products. Always working to keep Dataworks on the leading edge by understanding and implementing the very latest and most sophisticated methods utilizing tools for grappling... with extremely large scale and complex problems. Leads
The Data Scientist team owns and is responsible for all major data science initiatives. Expected to use and deploy cutting edge data science and machine learning tools and methods in all Dataworks projects, platforms, and products. Always working to keep Dataworks on the leading edge by understanding and implementing the very latest and most sophisticated methods utilizing tools for grappling... with extremely large scale and complex problems. Leads modeling and development to support operations initiatives, strategic programs, and new products/solutions, using advanced descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, and complex mathematical modeling/tool development. This team will lead the creation and implementation of solutions from concept to production using current and emerging technologies. The team will develop solutions supporting the movement of data and information assets following API-First / Service-Oriented Architecture principles. Leverages proficiency in ML Ops, CI/CD processes and machine learning / data engineering practices to ensure sustainable model development and provide recommendations on highly complex problems.
Minimum Qualifications
Data Scientist I:
Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred. Strong knowledge in advanced data science and machine learning tools and methods, including the iterative development of analysis pipelines to provide insights at scale. Strong knowledge and experience in conducting end-to end analyses, including data gathering and requirements specification, processing, analysis, and presentations. Strong understanding of the transportation industry, competitors, and evolving technologies. Experience as a member of multi-functional project teams. Strong oral and written communication skills.
Sponsorship is not available for Data Scientist I role.
Data Scientist II:
Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred. Two (2) years’ work experience in applying data science (machine learning, artificial intelligence, statistical analysis), operations research (optimization, algorithms, mathematical modeling), and data analytics modeling to decrease cost, increase profitability, and improve customer experience. Knowledge and general awareness of data science and machine learning tools and methods, including the iterative development of analysis pipelines to provide insights at scale. Familiarity with conducting end-to end analyses, including data gathering and requirements specification, processing, analysis, and presentations. General understanding of the transportation industry, competitors, and evolving technologies. Experience as a member of multi-functional project teams. Strong oral and written communication skills.
Sponsorship is not available for Data Scientist II role.
Data Scientist III:
Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred. Four (4) years’ work experience in applying data science (machine learning, artificial intelligence, statistical analysis), operations research (optimization, algorithms, mathematical modeling), and data analytics modeling to decrease cost, increase profitability, and improve customer experience. Extensive knowledge in advanced data science and machine learning tools and methods, including the iterative development of analysis pipelines to provide insights at scale. Extensive knowledge and experience in conducting end-to end analyses, including data gathering and requirements specification, processing, analysis, and presentations. Strong understanding of the transportation industry, competitors, and evolving technologies. Experience providing some level of leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-functional project teams. Strong oral and written communication skills. A related advanced degree may offset the related experience requirements.
Data Scientist Lead:
Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred. Six (6) years’ work experience in applying data science (machine learning, artificial intelligence, statistical analysis), operations research (optimization, algorithms, mathematical modeling), and data analytics modeling to decrease cost, increase profitability, and improve customer experience. Extensive knowledge in advanced data science, statistical analysis, and machine learning methods, including the iterative development of analysis pipelines to provide insights at scale. Extensive experience conducting end-to-end analyses, including data gathering and requirements specification, processing, analysis and presentation. Strong familiarity with the transportation industry, competitors, and evolving technologies. Experience providing leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-functional project teams. Strong human relations, organizational / time management, project management, and software development skills. Excellent interpersonal skills and the ability to present and communicate effectively to executive audiences.
Additional InformationColorado, Nevada, Connecticut, New York, California, Rhode Island, Washington, Hawaii, Illinois and New Jersey Residents Only - Compensation: Monthly Salary: $8,413.00 - $14,201.00. This compensation range is provided as a reasonable estimate of the current starting salary range for this role. Factors that may be used to determine your actual salary may include but are not limited to your specific skills, your work location, how many years of experience you have, and comparison to other employees already in this role.
Born out of FedEx, a pioneer that ships nearly 20 million packages a day and manages endless threads of information, FedEx Dataworks is an organization rooted in connecting the physical and digital sides of our network to meet today's needs and address tomorrow's challenges.
We are creating opportunities for FedEx, our customers, and the world at large by:
• Exploring and harnessing data to define and solve true problems;
• Removing barriers between data sets to create new avenues of insight;
• Building and iterating on solutions that generate value;
• Acting as a change agent to advance curiosity and performance.
At FedEx Dataworks, we are making supply chains work smarter for everyone.
Employee Benefits: medical, dental, and vision insurance; paid Life and AD&D insurance; tuition reimbursement; paid sick leave; paid parental leave, paid vacation, paid military leave, and additional paid time off; geographic pay ranges; 401k with Company match and incentive bonus potential; sales Incentive compensation for selling roles.
Dataworks does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, Dataworks is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact DataworksTalentAcquisition@corp.ds.fedex.com Show more details...
Minimum Qualifications
Data Scientist I:
Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred. Strong knowledge in advanced data science and machine learning tools and methods, including the iterative development of analysis pipelines to provide insights at scale. Strong knowledge and experience in conducting end-to end analyses, including data gathering and requirements specification, processing, analysis, and presentations. Strong understanding of the transportation industry, competitors, and evolving technologies. Experience as a member of multi-functional project teams. Strong oral and written communication skills.
Sponsorship is not available for Data Scientist I role.
Data Scientist II:
Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred. Two (2) years’ work experience in applying data science (machine learning, artificial intelligence, statistical analysis), operations research (optimization, algorithms, mathematical modeling), and data analytics modeling to decrease cost, increase profitability, and improve customer experience. Knowledge and general awareness of data science and machine learning tools and methods, including the iterative development of analysis pipelines to provide insights at scale. Familiarity with conducting end-to end analyses, including data gathering and requirements specification, processing, analysis, and presentations. General understanding of the transportation industry, competitors, and evolving technologies. Experience as a member of multi-functional project teams. Strong oral and written communication skills.
Sponsorship is not available for Data Scientist II role.
Data Scientist III:
Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred. Four (4) years’ work experience in applying data science (machine learning, artificial intelligence, statistical analysis), operations research (optimization, algorithms, mathematical modeling), and data analytics modeling to decrease cost, increase profitability, and improve customer experience. Extensive knowledge in advanced data science and machine learning tools and methods, including the iterative development of analysis pipelines to provide insights at scale. Extensive knowledge and experience in conducting end-to end analyses, including data gathering and requirements specification, processing, analysis, and presentations. Strong understanding of the transportation industry, competitors, and evolving technologies. Experience providing some level of leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-functional project teams. Strong oral and written communication skills. A related advanced degree may offset the related experience requirements.
Data Scientist Lead:
Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred. Six (6) years’ work experience in applying data science (machine learning, artificial intelligence, statistical analysis), operations research (optimization, algorithms, mathematical modeling), and data analytics modeling to decrease cost, increase profitability, and improve customer experience. Extensive knowledge in advanced data science, statistical analysis, and machine learning methods, including the iterative development of analysis pipelines to provide insights at scale. Extensive experience conducting end-to-end analyses, including data gathering and requirements specification, processing, analysis and presentation. Strong familiarity with the transportation industry, competitors, and evolving technologies. Experience providing leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-functional project teams. Strong human relations, organizational / time management, project management, and software development skills. Excellent interpersonal skills and the ability to present and communicate effectively to executive audiences.
Additional InformationColorado, Nevada, Connecticut, New York, California, Rhode Island, Washington, Hawaii, Illinois and New Jersey Residents Only - Compensation: Monthly Salary: $8,413.00 - $14,201.00. This compensation range is provided as a reasonable estimate of the current starting salary range for this role. Factors that may be used to determine your actual salary may include but are not limited to your specific skills, your work location, how many years of experience you have, and comparison to other employees already in this role.
Born out of FedEx, a pioneer that ships nearly 20 million packages a day and manages endless threads of information, FedEx Dataworks is an organization rooted in connecting the physical and digital sides of our network to meet today's needs and address tomorrow's challenges.
We are creating opportunities for FedEx, our customers, and the world at large by:
• Exploring and harnessing data to define and solve true problems;
• Removing barriers between data sets to create new avenues of insight;
• Building and iterating on solutions that generate value;
• Acting as a change agent to advance curiosity and performance.
At FedEx Dataworks, we are making supply chains work smarter for everyone.
Employee Benefits: medical, dental, and vision insurance; paid Life and AD&D insurance; tuition reimbursement; paid sick leave; paid parental leave, paid vacation, paid military leave, and additional paid time off; geographic pay ranges; 401k with Company match and incentive bonus potential; sales Incentive compensation for selling roles.
Dataworks does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, Dataworks is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact DataworksTalentAcquisition@corp.ds.fedex.com Show more details...
via Built In
posted_at: 22 days agoschedule_type: Full-timework_from_home: 1
Company Overview:
At Kipi.bi, we pioneer the integration of data science into business decisions and innovation. Across all industries, we harness data's power to craft impactful solutions propelling our organization forward...
Position Overview:
We seek a motivated and analytical Business Analyst to join our team. As a Business Analyst specializing in data science, you'll translate business requirements into actionable insights, employ data science
Company Overview:
At Kipi.bi, we pioneer the integration of data science into business decisions and innovation. Across all industries, we harness data's power to craft impactful solutions propelling our organization forward...
Position Overview:
We seek a motivated and analytical Business Analyst to join our team. As a Business Analyst specializing in data science, you'll translate business requirements into actionable insights, employ data science methodologies for decision-making, and champion continuous improvement through analysis and visualization. Candidates must grasp business processes, objectives, and challenges swiftly, identifying how data science elevates outcomes and processes.
Key Responsibilities:
• Requirement Gathering and Analysis: Collaborate with stakeholders, discern business needs, define project objectives, and implement data science solutions.
• Data Collection and Preparation: Work with data engineers to gather, clean, and prep data, ensuring quality and integrity.
• Data Analysis and Interpretation: Extract insights from complex datasets, identify trends, and offer actionable recommendations.
• Model Development Oversight: Guide model development, define project objectives, select techniques, evaluate performance, and ensure scalability.
• Performance Monitoring and Optimization: Track KPIs, monitor progress, and optimize processes based on data insights.
• Cross-functional Collaboration: Partner with data scientists, stakeholders, and IT professionals to align business objectives with data-driven solutions.
• Continuous Learning: Stay abreast of data science trends, enhancing skills to drive innovation.
Qualifications:
• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Finance, or related field; Advanced degree preferred.
• Proven experience as a Business Analyst or Data Analyst with data science focus.
• Proficiency in machine learning models, monitoring, and implementation in production.
• Strong statistical and machine learning metric evaluation skills.
• Proficiency in Python, R, SQL, or similar tools for data manipulation and analysis.
• Snowflake experience preferred.
• Excellent communication and presentation abilities.
• Strong attention to detail and multitasking skills Show more details...
At Kipi.bi, we pioneer the integration of data science into business decisions and innovation. Across all industries, we harness data's power to craft impactful solutions propelling our organization forward...
Position Overview:
We seek a motivated and analytical Business Analyst to join our team. As a Business Analyst specializing in data science, you'll translate business requirements into actionable insights, employ data science methodologies for decision-making, and champion continuous improvement through analysis and visualization. Candidates must grasp business processes, objectives, and challenges swiftly, identifying how data science elevates outcomes and processes.
Key Responsibilities:
• Requirement Gathering and Analysis: Collaborate with stakeholders, discern business needs, define project objectives, and implement data science solutions.
• Data Collection and Preparation: Work with data engineers to gather, clean, and prep data, ensuring quality and integrity.
• Data Analysis and Interpretation: Extract insights from complex datasets, identify trends, and offer actionable recommendations.
• Model Development Oversight: Guide model development, define project objectives, select techniques, evaluate performance, and ensure scalability.
• Performance Monitoring and Optimization: Track KPIs, monitor progress, and optimize processes based on data insights.
• Cross-functional Collaboration: Partner with data scientists, stakeholders, and IT professionals to align business objectives with data-driven solutions.
• Continuous Learning: Stay abreast of data science trends, enhancing skills to drive innovation.
Qualifications:
• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Finance, or related field; Advanced degree preferred.
• Proven experience as a Business Analyst or Data Analyst with data science focus.
• Proficiency in machine learning models, monitoring, and implementation in production.
• Strong statistical and machine learning metric evaluation skills.
• Proficiency in Python, R, SQL, or similar tools for data manipulation and analysis.
• Snowflake experience preferred.
• Excellent communication and presentation abilities.
• Strong attention to detail and multitasking skills Show more details...
via Recruiter Jobs
posted_at: 6 days agoschedule_type: Full-time
Title: Data Scientist ArchitectLocation: Los Angeles, CA & Seattle, WADuration: FulltimeJob Description:RequirementsRequired to have Bachelors/Masters/Ph.D. in Statistics/Machine Learning/Data Science/Analytics /Computer Science or Engineering from premier institutes.Preferred to have PhD in Data Science/Analytics/Computer Science.Should have 12-15 years' hands-on experience in algorithms and... implementation of analytics solutions in predictive
Title: Data Scientist ArchitectLocation: Los Angeles, CA & Seattle, WADuration: FulltimeJob Description:RequirementsRequired to have Bachelors/Masters/Ph.D. in Statistics/Machine Learning/Data Science/Analytics /Computer Science or Engineering from premier institutes.Preferred to have PhD in Data Science/Analytics/Computer Science.Should have 12-15 years' hands-on experience in algorithms and... implementation of analytics solutions in predictive analytics, text analytics and image analytics.Should have 5+ years' of experience in leading a team of data scientists, works closely with client's technical team to plan, develop and execute on client requirements providing technical expertise and project leadership.Exposure to Healthcare / Pharma informatics would be an added advantageFunctional Role and Responsibilities:Leads efforts to foster innovative ideas for developing high impact solutions.Evaluates and leads broad range of forward-looking analytics initiatives, track emerging data science trends, and knowledge sharing.Engaging key stakeholders to source, mine and validate data and findings and to confirm business logic and assumptions in order to draw conclusions.Helps in design and develop advanced analytic solutions across functional areas as per requirement/opportunities.Technical Role and ResponsibilitiesDemonstrated strong capability in statistical/Mathematical modelling or Machine Learning or Artificial IntelligenceDemonstrated skills in programming for implementation and deployment of algorithms preferably in Statistical/Client based programming languages in Python.Sound Experience with traditional as well as modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods.Visualization tool experience - preferably with Tableau or Power BISound knowledge of ETL practices preferably spark in Data Bricks cloud big data technologies like AWS, Google, Microsoft, or Cloudera.Communicate complex quantitative analysis in a lucid, precise, clear and actionable insight.Developing new practices and methodologies using statistical methods, machine learning and predictive models under mentorship.Carrying out statistical and mathematical modelling, solving complex business problems and delivering innovative solutions using state of the art tools and cutting-edge technologies for big data beyond.Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.#J-18808-Ljbffr
Show more details...
via Otterbase
schedule_type: Full-timework_from_home: 1
Senior Data Scientist
Summary...
Utilize machine learning and AI expertise to develop and deploy models, collaborating closely with clients and teams to solve business problems and improve product capabilities. This opportunity is fully remote and direct placement with one of our healthcare clients.
Responsibilities:
• Design and implement machine learning models.
• Operationalize models for real-time use and manage end-to-end ML/AI projects.
•
Senior Data Scientist
Summary...
Utilize machine learning and AI expertise to develop and deploy models, collaborating closely with clients and teams to solve business problems and improve product capabilities. This opportunity is fully remote and direct placement with one of our healthcare clients.
Responsibilities:
• Design and implement machine learning models.
• Operationalize models for real-time use and manage end-to-end ML/AI projects.
• Employ advanced statistics to gain actionable insights.
• Collaborate with business users and clients to understand needs and integrate solutions.
• Prototype new analytics offerings and advance the AI/ML roadmap.
• Partner with data engineers to build data pipelines and models.
• Advocate for data quality and best practices.
• Implement models, monitor outcomes, and analyze performance.
• Mentor new team members and stay up-to-date on data science trends.
Qualifications:
• MS in a quantitative discipline.
• 4-6 years of experience in data science, machine learning, visualization, and data storytelling.
• Strong attention to detail, data integrity, and data wrangling skills.
• Proficiency in statistical software (R, Python, etc.) and BI tools (Tableau, Power BI, etc.).
• Advanced Python skills and experience with AWS tools (preferred).
• Expertise in machine learning techniques and algorithms.
• Excellent communication and collaboration skills.
• Leadership, self-direction, and willingness to teach and learn.
• Experience in healthcare (preferred Show more details...
Summary...
Utilize machine learning and AI expertise to develop and deploy models, collaborating closely with clients and teams to solve business problems and improve product capabilities. This opportunity is fully remote and direct placement with one of our healthcare clients.
Responsibilities:
• Design and implement machine learning models.
• Operationalize models for real-time use and manage end-to-end ML/AI projects.
• Employ advanced statistics to gain actionable insights.
• Collaborate with business users and clients to understand needs and integrate solutions.
• Prototype new analytics offerings and advance the AI/ML roadmap.
• Partner with data engineers to build data pipelines and models.
• Advocate for data quality and best practices.
• Implement models, monitor outcomes, and analyze performance.
• Mentor new team members and stay up-to-date on data science trends.
Qualifications:
• MS in a quantitative discipline.
• 4-6 years of experience in data science, machine learning, visualization, and data storytelling.
• Strong attention to detail, data integrity, and data wrangling skills.
• Proficiency in statistical software (R, Python, etc.) and BI tools (Tableau, Power BI, etc.).
• Advanced Python skills and experience with AWS tools (preferred).
• Expertise in machine learning techniques and algorithms.
• Excellent communication and collaboration skills.
• Leadership, self-direction, and willingness to teach and learn.
• Experience in healthcare (preferred Show more details...
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