CrawlJobs Logo
AMD Logo AMD · IT - Software Development

Senior Data Scientist – People Analytics

United States, Austin Employment contract 91520.00 - 137280.00 USD / Year · Job Posted May 29, 2026
Apply Position
Job Link Share

Job Description

AMD is seeking a highly skilled People Analytics Data Scientist to join our growing Talent Insights team. This role will drive advanced analytics, predictive modeling, and AI-driven insights to inform critical talent and organizational decisions. You will work at the intersection of data science, HR strategy, and business leadership, leveraging tools such as Dataiku, Power BI, and modern AI techniques to build scalable data products and deliver actionable insights to senior leaders. This is a high-impact role ideal for someone who combines strong technical depth with the ability to translate complex data into clear, business-relevant recommendations. This role reports directly to the Director of Talent Management & People Analytics.

Job Responsibility

  • Design and deliver analysis to influence decisions on talent strategy, workforce planning, engagement, and organizational design
  • Build and scale repeatable analytics solutions and data products
  • Partner with HR and business leaders to define key business questions and deliver data-driven recommendations
  • Design and deliver AI agents to streamline data delivery and analysis for talent processes
  • Collaborate with HR data engineering team to ensure data quality, governance, and accessibility
  • Build proficiency in AMD AI tools and models
  • Help shape the long-term People Analytics strategy at AMD

Requirements

  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Industrial & Organizational Psychology, or related field
  • Experience in People Analytics
  • Experience in data science and advanced analytics
  • Hands-on experience building models using tools such as Dataiku, Python, R, or similar platforms
  • Intermediate expertise in Power BI (data modeling, DAX, dashboard design, performance optimization)
  • Basic understanding of statistical methods, machine learning, and experimental design
  • Proven ability to translate data into business insights and influence decision-making
  • Experience working with large, complex datasets across multiple sources
  • Experience in People Analytics or HR data domains (e.g., talent management, engagement, workforce planning)
  • Familiarity with HR systems (e.g., SAP SuccessFactors, Workday)
  • Experience deploying ML models into production environments
  • Knowledge of data storytelling for executive audiences
AMD - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Senior Data Scientist – People Analytics

8 matching positions

Senior Data Scientist

We are seeking a seasoned and self-organizing Senior Data Scientist to join our ...
Location
Location
Egypt , Cairo
Salary
Salary:
Not provided
coca-colahellenic.com Logo
Coca-Cola HBC
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BSc or MSc in Data Science, Engineering or a related field
  • Minimum 5 years of experience in data science roles, with a strong track record of delivering commercial analytics solutions (propensity modeling, forecasting, optimization)
  • Proven experience in owning projects end-to-end, from business understanding to deployment and impact measurement
  • Experience building scalable solutions that go beyond one-off analyses
  • People management experience of at least one year
  • Great communication skills and the ability to engage with both technical and business stakeholders
  • Proficiency in Python/Pyspark, SQL and ML libraries, and ideally certification in Databricks or Azure, as well as experience with PowerBI. Other cloud services are also acceptable
  • Concrete experience in SAFe-agile as way of working, as well as DevOps/MLOps in development
  • Strong, self-driven exposure in GenAI. Familiarity with Microsoft Copilot Studio and Foundry will be appreciated
  • Interest in gaining domain specific knowledge concerning the business model of Coca Cola Hellenic
Job Responsibility
Job Responsibility
  • Lead the development and deployment of advanced analytics and traditional machine learning solutions, working hands-on, as proof-of-concept and in production environments
  • Act as a technical lead, guiding other data scientists while remaining hands-on in solution design and delivery
  • Own the end-to-end lifecycle of data science solutions, from problem definition to deployment and continuous improvement
  • Collaborate with cross-functional teams to translate analytical outputs into measurable business impact, influencing commercial decisions
  • Stay current with emerging technologies, with a particular focus on Generative AI and its practical applications
  • Deliver scalable, maintainable solutions that support customer and business needs
  • Have opportunities for professional training and certifications as well as mentorship
What we offer
What we offer
  • Development opportunities
  • Work with iconic brands
  • Supportive team
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

The Senior Data Scientist is a technical leader within the CDX Advanced Analytic...
Location
Location
United States , Minneapolis
Salary
Salary:
84835.61 - 149076.17 USD / Year
adtalem.com Logo
Adtalem Global Education
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Senior Data Scientist

The Senior Data Scientist is a technical leader within the CDX Advanced Analytic...
Location
Location
United States , Columbia, MD
Salary
Salary:
84835.61 - 149076.17 USD / Year
adtalem.com Logo
Adtalem Global Education
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Financial Crimes Data Analytics & Intelligence Lead-Senior Vice President

Citi Analytics & Information Management (AIM) team is a global community that ob...
Location
Location
India , Gurugram
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum 15+ years of analytics experience in core model development using ML/AI/Gen AI techniques
  • Sound knowledge of model development stages and industry best practices in real time deployment with good understanding of pros and cons of different modelling techniques
  • Strong understanding of current state of the art ML/AI/Gen AI algorithms
  • Prior experience in AML domain, Mantas, or any other AML Transaction Monitoring systems will be preferred
  • Strong coding skill with experience in Bigdata environments
  • Strong knowledge of the pros, cons, and usage of various ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.)
  • Strong knowledge of Python, SQL, and Big Data
  • Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field. A Ph.D. is a plus
  • Model execution and governance experience in any domain will be preferable
  • Proven track record of building and deploying generative models-based solutions in production environments
Job Responsibility
Job Responsibility
  • Lead a team of data scientists responsible for working on various tools and technologies for successful development and implementation of Machine learning (ML) /AI/Gen AI models on different platforms, design, develop and deploy generative AI based solutions for AML Transaction monitoring
  • Lead and manage the FCDAI team within AIM, recruit staff, lead professional development and build a high performing team
  • Act as Strategic Leader: Incumbents would be primarily responsible for supporting Business Execution activities for Independent Compliance Risk Management (ICRM) AML organization, implement analytical solutions
  • Maintain an industry leading knowledge of the tools, systems, and processes available for best-in-class AML Detection and Monitoring
  • Lead as SME in the area of ML/AI/Gen AI
  • Provide technical leadership, mentorship, and guidance to a team of model developers
  • Ensuring 100% execution accuracy
  • Provide thought leadership for all data solutions that include designing, developing, and implementing Machine Learning/AI/Gen AI solutions that meet and exceed expectations
  • Communicate complex analytical concepts and results to both technical and non-technical audiences
  • Establish governance frameworks for model development, deployment, and monitoring to meet MRM and Fair Lending guidelines
  • Fulltime
Read More
Arrow Right

Senior Applied Scientist / Principal Applied Scientist

We are hiring multiple Senior Applied Scientists and Principal Applied Scientist...
Location
Location
Costa Rica , Multiple Locations
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field
  • OR equivalent experience in lieu of academic degrees
  • At least 5 years of experience in predictive analytics, statistics, or research
  • Experience with synthetic data generation and data management for evaluation/training
  • At least one year of experience publishing patents or peer-reviewed papers
  • Proficiency in English and cross-functional collaboration
  • Deep motivation for user-centric AI and interest in human cognition, memory, and AI
Job Responsibility
Job Responsibility
  • Develop and evaluate ML models using prepared datasets, customer feedback, and novel training/fine-tuning algorithms for language models
  • Write production-quality code, apply debugging best practices, and stay current with industry trends
  • Defining, leading, and helping to conduct research projects that simultaneously advance the state-of-the-art and directly benefit Microsoft’s core productivity products
  • Shape product direction by integrating rigorous scientific methods into the product lifecycle
  • Collaborating and coordinating with people in a range of roles, including researchers, engineers, product managers, designers, and other key product stakeholders
  • Serving as a bridge between research and product
  • Teaching, guiding, and tutoring colleagues without research backgrounds in state-of-the-art techniques and research best practices
  • Sharing your research with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven
  • Effectively communicating with product leaders (and often Microsoft researchers (MSR)) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts
  • Fulltime
Read More
Arrow Right

Data Scientist

Join us as a "Data Scientist" at Barclays, where you'll build analytical tools t...
Location
Location
India , Gurugram
Salary
Salary:
Not provided
barclays.co.uk Logo
Barclays
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Is It IC OR People Manager role – IC role
  • Educational Qualification – Graduation as a minimum
  • Bachelor or masters degree in data science (or similar) or equivalent commercial experience
  • Experience with working with senior stakeholders across the data science life cycle from inception of an idea to the delivery within a production environment
  • Ability to translate technical work into business terms and communicate value to business stakeholders
  • Commercial experience in applying machine learning techniques to generate business value (e.g. clustering, classification, regression, NLP techniques)
  • Ability to write close to production standard code with strong understanding of key coding principals e.g. separation of concerns, generalisation of code. Strong experience in Python and SQL is a must
  • Familiarity with AWS data science and AI services, including SageMaker and Bedrock
  • Understanding of GenAI, LLMs and the RAG framework
  • Proficiency in data visualization software, ideally Tableau, with exposure to QlikView, PowerBI, or similar tools
Job Responsibility
Job Responsibility
  • Build analytical tools to generate insight, recognise patterns and predict behaviour, and deliver content direct to users of information products
  • Work with technical teams, architects, designers, and administrators to overcome technical challenges
  • Take ownership of key initiatives to deliver results through an agile workflow
  • Design, test and build complex forecast models and simulations to identify causal links between customer behaviour and business opportunities and performance
  • Build relationships with senior stakeholders across the bank to seek out opportunities to add value through Data Science and GenAI
  • Develop machine learning models and apply AI to deliver commercial value for the Corporate Bank
  • Leverage AWS services for data transformation, feature engineering, AI product development and deployment
  • Communicate complex technical ideas to stakeholders via data visualisation
  • Work closely with our equivalent ML Ops team in technology to streamline the path to production for successful projects
What we offer
What we offer
  • Health and wellness
  • Gain access to wellness rooms, gyms and mental health support
  • A place where you can belong
  • Our welcoming and inclusive culture supports you to bring your whole self to work, explore your potential and pursue your passions
  • Collaborative Areas
  • Modern spaces designed for teamwork and brainstorming
  • More than work
  • Be you. Be valued. Belong
  • Fulltime
Read More
Arrow Right

Sr. Data Scientist

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologie...
Location
Location
United States , Menlo Park
Salary
Salary:
304944.00 - 325270.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, Industrial engineering relevant technical field and five years of progressive, post-baccalaureate experience in the job offered or a computer-related occupation. Alternatively, the employer will accept 7 years of experience
  • Experience must include 5 years of experience in the following: Leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
  • Applying predictive modeling, machine learning, and experimentation / causal inference methods on a regular basis to solve real life problems
  • Working effectively with a very large number of stakeholders, cross functionally, including Engineering, PM/TPM, Analytics & Finance as well as cross-org
  • Framing and communicating with senior leadership
Job Responsibility
Job Responsibility
  • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
  • Partner with Product and Engineering teams to solve complex problems and identify trends and opportunities
  • Inform, influence, support, and execute our product decisions and product launches
  • Work on Data Infrastructure
  • Working in Hadoop and Hive and MySQL
  • Authoring pipelines via SQL and python based ETL framework
  • Guide experimentation across the Core Ads Growth organization (~1,200 people for all functions)
  • This entails reviewing complex experiments across the Core Ads Growth product suite, and supporting the development of robust measurement plans across organizational pillars
  • Responsible for machine learning model development including guiding Machine Learning Engineers on the authoring of Machine Learning models such as guiding label design, and offline and online evaluation of results
  • Advancing analytics in Python and R leverage big data to make the right strategic business decisions, such as complex trade-offs between competing metrics, and steer product development for positive long-term outcomes for the business
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

Principal Data Scientist Manager

At Worldwide Learning (WWL), our mission is to inspire every person and organiza...
Location
Location
United States , Multiple Locations
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience
  • OR equivalent experience
  • 3+ years people-management experience
Job Responsibility
Job Responsibility
  • Lead product data insights for Microsoft internal and external skilling/learning solutions such as AI Skills Navigator to drive product improvement and better learning outcomes for users and customers
  • Build a global learner graph representing relationships among skills, certifications, content, modalities, and multi-step learning pathways using graph intelligence techniques (GraphRAG, embeddings, entity resolution, GNNs)
  • Develop, operationalize, and evolve competency models, skill taxonomies, and certification readiness frameworks to measure proficiency progression and mastery
  • Create multi-step journey analytics for learners, partners, and field roles using sequential modeling, trajectory prediction, and pathway optimization
  • Apply LLMs and multi-modal embeddings to learning content (text, transcripts, assessments) to align content to skills, outcomes, and recommended learning paths
  • Invent and deliver standardized metrics and KPI frameworks that quantify learning outcomes, content effectiveness, competency development, and readiness improvement
  • Lead A/B testing, uplift modeling, counterfactual analysis, and causal inference to evaluate the impact of learning programs, content interventions, and skilling experiences
  • Build model evaluation frameworks including reliability scoring, bias detection, longitudinal cohort analysis, and scenario simulation
  • Quantify the relationship between learning outcomes and downstream business impact such as customer success, partner readiness, deployment velocity, Azure consumption, and revenue performance
  • Partner with the Microsoft Partner Division, Global Partner Solutions (GPS), and Worldwide Learning to assess partner skilling, certification progress, capability gaps, and ecosystem readiness
  • Fulltime
Read More
Arrow Right