Senior Associate, Data Scientist Job at Capital One (McLean)

Senior Data Scientist

This role has been designed as ‘Onsite’ with an expectation that you will primar...

Location

Israel , Ra'anana

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree preferred or Associate degree holder (technical field) with 5-7 years working experience in related fields desired
Thorough knowledge of company products and services offerings, company organization, competition, third party products and market trends
Broad knowledge of corporate organization, job, and policies
Comprehensive business, technical or functional knowledge at an expert level
Communicate tactfully with diplomacy up to senior management levels within an organization
Active listening skills and ability to adjust messages to audience level
Problem-solving skills (proactive, reactive and creative)
Able to employ exemplary consulting skills by becoming a trusted advisor to the customer and providing clarity to solution determination
Well versed in core technical competencies and peaked in some technical area(s) intermediate skills in project management, communication, analysis and presentation
Provide suggestions for operational efficiencies

Job Responsibility

Apply advanced technical knowledge to operate one or more technology areas (e.g. server administration, technical security management, performance management) or customer groups that are critical or high-risk
Integrate technical knowledge and business understanding to create solutions for customers
Resolve single- and cross- technology incidents independently
Work with team members to resolve unusually complex or cross- technology incidents
Proactively and reactively look for solutions to prevent problems from occurring in team/technology area
Apply company solutions to meet highly complex customer needs
Identify additional services that could lead to future service revenue growth
Provide technical consulting during contract renewal discussions
Build and maintain strong relationship up to senior management level in assigned accounts
Design and deliver support solutions using specific industry knowledge and expertise

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Senior Data Scientist - Literature

Help bring science to life and join a leading pharmaceutical company to play a k...

Location

Switzerland , Basel

Salary:

Not provided

Proclinical

Expiration Date

Until further notice

Requirements

Degree in medicine, pharmacy, or natural sciences
Experience in information science, particularly within pharmacovigilance and drug development
Strong knowledge of medicine, drug development, and biomedical literature databases
Proficiency in scientific data evaluation, interpretation, and synthesis
Excellent written and verbal communication skills, with the ability to explain search strategies effectively
Expertise in classical text searching and familiarity with literature sources and databases
Ability to build strong working relationships in a cross-functional, international environment
Self-motivated, detail-oriented, and capable of prioritizing tasks effectively
Fluent in English, both written and spoken

Job Responsibility

Conduct ad-hoc literature searches in biomedical databases to identify adverse drug reactions and risks associated with medicinal products and devices
Develop, test, document, and maintain search profiles for various safety and efficacy reports, including DSURs, PBRERs, and MDIRs
Ensure timely and accurate delivery of search results while adhering to standard operating procedures
Collaborate with internal stakeholders to define search criteria and maintain effective relationships
Review and validate the plausibility of literature search results
Actively contribute to the Safety Literature Group by sharing knowledge and best practices
Create and deliver training materials on retrieval and reporting topics for team members and stakeholders
Proactively identify opportunities to improve processes, methods, and technologies
Address and escalate any issues related to literature searches as needed

Senior Data Scientist - Value & Access

As the Data Scientist at Amgen, you will be responsible for developing and deplo...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree in computer science, statistics or STEM majors with a minimum of 5 years of Information Systems experience
Bachelor’s degree in computer science, statistics or STEM majors with a minimum of 7 years of Information Systems experience
Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription
Experience with one or more analytic software tools or languages like R and Python
Strong foundation in machine learning algorithms and techniques
Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification

Job Responsibility

Drive full lifecycle of Data Science projects delivery and ability to guide data scientists in shaping the developing the solution and act as a subject matter expert in solving development and commercial questions
Assume the role of business owner and manage the Proprietary AI engine built to optimize Copay
Support Amgen Gross to Net and other V&A Transformation initiatives
Ensure models are trained with the latest data and meet the SLA expectations
Manage AI tool’s road map, working with a global cross functional team
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information
Perform exploratory and targeted data analyses using descriptive statistics and other methods
Model/analytics experiment and development pipeline leveraging MLOps
Oversee efforts of 1-3 associates, including setting performance standards, managing their staffing, and monitoring performance

Senior Data Scientist - Value & Access

As the Data Scientist at Amgen, you will be responsible for developing and deplo...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree in computer science, statistics or STEM majors with a minimum of 5 years of Information Systems experience
Bachelor’s degree in computer science, statistics or STEM majors with a minimum of 7 years of Information Systems experience
Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription
Experience with one or more analytic software tools or languages like R and Python
Strong foundation in machine learning algorithms and techniques
Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification

Job Responsibility

Accountable to drive full lifecycle of Data Science projects delivery and ability to guide data scientists in shaping the developing the solution and act as a subject matter expert in solving development and commercial questions
Assume the role of business owner and manage the Proprietary AI engine built to optimize Copay
Support Amgen Gross to Net and other V&A Transformation initiatives
Ensure models are trained with the latest data and meet the SLA expectations
Manage AI tool’s road map, working with a global cross functional team
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information
Perform exploratory and targeted data analyses using descriptive statistics and other methods
Model/analytics experiment and development pipeline leveraging MLOps
Oversee efforts of 1-3 associates, including setting performance standards, managing their staffing, and monitoring performance

Senior People Data Scientist

Atlassian is a distributed-first company allowing employees to choose their pref...

Location

United States , San Francisco

Salary:

175100.00 - 233400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s degree in organizational psychology, organizational development, HR/business analytics or a related field plus 4 years (48 months) of professional experience in data science and analytics, including experience in evidence-based employee engagement and wellbeing programs
experience designing, implementing, analyzing, and evaluating employee engagement, other lifecycle survey programs, and intervention strategies (e.g., coaching) in support of employee engagement and wellbeing initiatives
experience applying knowledge of advanced statistics with demonstrated ability to identify and conduct analyses using multiple sources of organizational data to provide accurate, thoughtful actionable insights for optimizing engagement and team effectiveness
demonstrated expertise in statistical analysis techniques such as regression, longitudinal analysis, factor analysis, clustering, hierarchical linear modeling
experience communicating research insights and recommendations to executives, HR, and functional leaders to inform and drive action
experience using statistical packages such as R, Q/DisplayR or SPSS

Job Responsibility

Apply subject matter expertise in the employee experience along with strong quantitative analysis skills to drive the experimental design of the survey program, its implementation, analysis (including advanced statistical analyses), and reporting for the company’s key employee engagement initiative
design, implement, analyze, and evaluate employee engagement, other lifecycle survey programs, and intervention strategies (e.g., coaching) in support of employee engagement and wellbeing initiatives
apply knowledge of advanced statistics with demonstrated ability to identify and conduct analyses using multiple sources of organizational data to provide accurate, thoughtful actionable insights for optimizing engagement and team effectiveness
advise on and guide the development of associated behavior change offerings at the individual, team, and organization level
partner with global teammates, leaders, the people team, and other stakeholders across the organization to continue to understand current and emerging engagement challenges
meaningfully interpret data relative to business objectives applying statistical analysis techniques such as regression, longitudinal analysis, factor analysis, clustering, hierarchical linear modeling and statistical packages such as R, Q/DisplayR or SPSS
communicate analyses and research insights and recommendations through concise, credible communications for both technical and non-technical audiences, such as executives, HR, and functional leaders, to inform and drive action, demonstrating strong presentation skills when explaining data and connecting it to potential actions
proactively identify and prioritize opportunities for employee engagement, wellbeing, and related research, driving the team’s ongoing research roadmap
prioritize ethical practices in the management, analysis and reporting of employee-related data, including the communication of sensitive insights to executives and leaders
engage different stakeholders and conduct focus groups

What we offer

Health and wellbeing resources
paid volunteer days
additional community engagement benefits

Fulltime

Senior Data Consultant

Ivy Partners is a Swiss consulting firm that assists companies in their strategi...

Location

Portugal , Lisboa

Salary:

Not provided

IVY Partners

Expiration Date

Until further notice

Requirements

Between 6 to 10 years of professional experience
strong understanding and experience in data architecture within diverse domains such as finance, purchasing, etc.
deep expertise in managing large datasets
proficient in tools like BPMN 2.0 (preferably using Draw.io or LucidChart)
skilled in building and interpreting conceptual and logical data models
effectively document architecture and business processes
strong ability to perform gap analysis on existing datasets versus group standards
develop and manage a detailed remediation plan
both english and portuguese are required

Job Responsibility

Collaborate with diverse stakeholder communities, including business experts, data engineers, data scientists, and technical architects, to leverage data analytics, AI, and Master Data Management
Structure data platforms optimally for various use cases, ensuring alignment with business needs and governance standards
Develop and standardize conceptual data models, and document business processes in BPMN format to support data consumption
Identify and define critical business processes and associated data stewards or process owners
Assess existing datasets against defined data architecture standards, propose remediation plans, and manage the redesign process to ensure dataset standardization and reusability
Ensure adherence to data governance frameworks, including data risk management policies, data classification, access policies, and retention protocols
Document all relevant details in data catalogs and governance tools like Collibra

What we offer

nurturing environment where everyone is valued
training and opportunities for advancement both in Switzerland and internationally
climate of trust based on transparency, professionalism, and commitment
encouraging innovation
collective is at the heart of our actions
strive to generate a positive impact

Senior Data Scientist

The Senior Data Scientist is a technical leader within the CDX Advanced Analytic...

Location

United States , Chicago

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's degree in an area such as Data Science, Computer Science, Statistics, Mathematics, or related field. Required. Master's degree preferred.
Five (5) plus years of experience in data science, machine learning, or advanced analytics roles.
Five (5) plus years of proven experience with production-level ML models, data pipelines and/or applied AI.
Familiarity with cloud platforms (GCP, BigQuery, Vertex AI), AzureDevOps and reporting tool (Power BI, Tableau).
Experience delivering end-to-end data science solutions, including data collection, feature engineering, model development, deployment, and integration into business workflows.
Demonstrated success with agentic workflows and GenAI in data science product solutions
Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation).
Excellent understanding of machine learning techniques and algorithms, such as decision trees, RF, XGBoost, LightGBM, etc.
Advanced skills in programming and coding, data science toolkits, and query languages (e.g., Python and SQL).
Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server.

Job Responsibility

Design, build, and maintain production-grade machine learning models that address critical business questions related to student enrollment, retention, and success.
Conduct rigorous machine learning experiments using structured methodologies to evaluate model performance and identify optimal solutions.
Implement model monitoring and maintenance protocols to ensure continued accuracy and relevance over time.
Develop scalable data pipelines and feature engineering processes to support model development and deployment.
Drive innovation in applied AI and Generative AI (GenAI) solutions, exploring opportunities to integrate advanced AI capabilities into data science products and workflows.
Partner with senior leadership to understand strategic priorities and assess how data science capabilities can address organizational needs.
Translate business requirements into well-defined analytical problems with clear success metrics.
Present complex analytical findings and model insights to non-technical audiences, including executive stakeholders.
Provide technical mentorship and share best practices with Data Scientists and Associate Data Scientists.
Apply statistical methods to validate model performance and ensure analytical robustness.

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

Senior Data Scientist

The Senior Data Scientist is a technical leader within the CDX Advanced Analytic...

Location

United States , Minneapolis

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's degree in an area such as Data Science, Computer Science, Statistics, Mathematics, or related field. Required. Master's degree preferred.
Five (5) plus years of experience in data science, machine learning, or advanced analytics roles.
Five (5) plus years of proven experience with production-level ML models, data pipelines and/or applied AI.
Famililarity with cloud platforms (GCP, BigQuery, Vertex AI), AzureDevOps and reporting tool (Power BI, Tableau).
Experience delivering end-to-end data science solutions, including data collection, feature engineering, model development, deployment, and integration into business workflows.
Demonstrated success with agentic workflows and GenAI in data science product solutions
Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation).
Excellent understanding of machine learning techniques and algorithms, such as decision trees, RF, XGBoost, LightGBM, etc.
Advanced skills in programming and coding, data science toolkits, and query languages (e.g., Python and SQL).
Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server.

Job Responsibility

Design, build, and maintain production-grade machine learning models that address critical business questions related to student enrollment, retention, and success.
Conduct rigorous machine learning experiments using structured methodologies to evaluate model performance and identify optimal solutions.
Implement model monitoring and maintenance protocols to ensure continued accuracy and relevance over time.
Develop scalable data pipelines and feature engineering processes to support model development and deployment.
Drive innovation in applied AI and Generative AI (GenAI) solutions, exploring opportunities to integrate advanced AI capabilities into data science products and workflows.
Partner with senior leadership to understand strategic priorities and assess how data science capabilities can address organizational needs.
Translate business requirements into well-defined analytical problems with clear success metrics.
Present complex analytical findings and model insights to non-technical audiences, including executive stakeholders.
Provide technical mentorship and share best practices with Data Scientists and Associate Data Scientists.
Apply statistical methods to validate model performance and ensure analytical robustness.

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
annual incentive program

Fulltime

Senior Associate, Data Scientist

Capital One

Location:
United States , McLean

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 16, 2026

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