HR Data Scientist (People Analytics)

General Motors

3d • Remote

About The Position

HR Data Scientist (People Analytics) The Role 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 You will lead the development of AI-driven insights that directly influence talent and workforce strategy. You will work with cutting-edge tools such as Databricks, Workday, and Azure to operationalize ML models in production. You will collaborate with a multidisciplinary team of data scientists, engineers, People Analytics Consultants, and HR partners. You will be part of a forward-thinking People Analytics team that values innovation, transparency, and responsible AI. You will 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.

Requirements

• 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

Nice To Haves

• 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.

Responsibilities

• 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.
• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees