Senior Data Scientist, People

About the position

As a Senior Data Scientist on the People Team at DoorDash, you will apply your expertise in graph theory and machine learning to model leadership hierarchies and employee networks, ensuring continuity in people data metrics. You’ll work with large, dynamic datasets to develop graph-based solutions that optimize decision-making and provide actionable insights on leadership transitions, turnover, and organizational structure. This role offers an exciting opportunity to design, implement, and deploy advanced graph analytics models, collaborating with a diverse team of data scientists, engineers, and HR professionals. If you’re passionate about graph theory, network analysis, predictive modeling, and AI-driven workforce intelligence, we’d love to hear from you!

Responsibilities

• Pioneer graph-based workforce intelligence: Lead the development of the team’s first graph analytics solutions, shaping how leadership transitions and workforce trends are understood.
• Collaborate with a highly skilled, cross-functional team of data scientists, engineers, and HR professionals in an innovative, fast-paced environment.
• Access state-of-the-art cloud tools, graph databases, and large-scale ML models to tackle complex organizational challenges.
• Use large, dynamic datasets to solve high-stakes business problems and drive data-informed decision-making at scale.
• Benefit from strong support for professional development, continued learning in machine learning, graph analytics, and AI, and mentorship from industry leaders.
• Be part of a company that values innovation, collaboration, and pushing the boundaries of workforce analytics.

Requirements

• Master’s or Ph.D. in Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, or a closely related field.
• Experience in designing and implementing graph databases (Neo4j, Amazon Neptune, JanusGraph, etc.) and graph query languages (Cypher, Gremlin, SPARQL).
• Strong knowledge of graph theory, network analysis, and predictive modeling.
• Proficiency in Python, SQL, and experience with graph libraries (NetworkX, igraph, TigerGraph).
• Experience with Snowflake, BigQuery, dbt, and building data pipelines.
• Ability to create graph visualizations and dashboards using tools like Tableau, GraphXR, or D3.js.
• Familiarity with AWS, GCP, or Azure for scalable graph-based solutions.
• 3+ years of experience independently applying your skills to solve problems in an industry setting (1-2+ years in People Analytics preferred).
• Strong understanding of ML libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Significant experience with production-level ML systems and end-to-end machine learning pipelines.

Nice-to-haves

• Experience working in a global HR / people organization.
• Understanding of workforce metrics, turnover analysis, and HRIS systems like Workday.

Benefits

• 401(k) plan with an employer match
• Paid time off
• Paid parental leave
• Wellness benefits
• Paid holidays
• Medical, dental, and vision benefits
• Disability and basic life insurance
• Family-forming assistance
• Commuter benefit match
• Mental health program