HR Data Scientist (people Analytics)

HR Data Scientist (People Analytics)

We're looking for an HR Data Scientist to join our People Analytics Center of Excellence. In this role, you'll leverage your expertise in machine learning, AI, and HR data to design and deploy predictive models that inform strategic workforce decisions, from talent acquisition to retention and mobility. You'll work hands-on in Databricks, using scalable data science workflows to turn complex people data into actionable insights that shape how we attract, develop, and retain talent.

What's in it for you:

• Lead the development of AI-driven insights that directly influence talent and workforce strategy.
• Work with cutting-edge tools such as Databricks, Workday, and Azure to operationalize ML models in production.
• Collaborate with a multidisciplinary team of data scientists, engineers, People Analytics Consultants, and HR partners.
• Be part of a forward-thinking People Analytics team that values innovation, transparency, and responsible AI.
• Grow your impact at the intersection of data science and human behavior, shaping the future of work.

Key outcomes you will deliver:

• Production-grade People Analytics projects such as attrition prediction, hiring funnel analytics, and skills inference.
• A scalable, secure Workday-integrated Databricks data model that supports advanced analytics and predictive modeling.
• Reliable ML and analytics models that deliver actionable insights across HR.

Your responsibilities:

• Model Development and Advanced Analytics
• Design, develop, and deploy production-ready ML and statistical models using Python (pandas, scikit-learn, PySpark, GPBoost, XGBoost, among others) within Databricks and tracked through MLflow.
• Apply techniques such as classification, regression, NLP, clustering, and forecasting to address workforce challenges.
• Perform model evaluation, monitoring, and explainability to ensure responsible use of AI in HR contexts.
• Partner with data engineers to ensure reliable HR datasets across Workday and other systems.
• Insight Generation and Storytelling
• Translate model outputs into clear, actionable insights for HR and business leaders.
• Collaborate with People Analytics teams to visualize and communicate findings effectively.
• Document methodologies and promote a culture of data transparency and continuous learning.

Who you are:

You are an analytical storyteller who thrives at the intersection of data, technology, and people. You are passionate about uncovering insights that improve employee experience and business performance, and you are as comfortable building production-grade ML pipelines as you are explaining results to executives.

Qualifications:

• Required:
• 5+ years in data engineering or analytics, with demonstrated delivery of data platforms or ML/AI solutions.
• Proficiency in SQL
• Proficiency in Python (pandas, scikit-learn, PySpark, TensorFlow, XGBoost, GPBoost, among others) with experience managing experiments and deployments through MLflow
• Strong understanding of data privacy and ethical AI principles
• Preferred:
• Proficiency in Databricks
• Experience in People Analytics or HR technology environments.
• Strong understanding of HR data and employee lifecycle processes (recruiting, development, engagement, workforce planning).
• Degree in quantitative field (Mathematics, Statistics, Computer Science) or equivalent experience.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.

The salary range for this role is $106,600 - $163,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

About GM: Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us: We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview: From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.): General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

Accommodations: General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.