Senior Data Scientist, People - Remote

Overview

The People Data Science team empowers the business to unlock the full potential of talent and drive meaningful improvements in organizational effectiveness. By harnessing advanced statistical techniques and machine learning algorithms, we sift through vast amounts of employee data to identify trends, patterns, and correlations that might otherwise remain hidden. Leveraging the insights drawn from these data science methods, we enable our stakeholders to make informed, data-driven decisions, enhance the employee experience, optimize talent density, and foster a work environment that lets our employees thrive.

In Short

• 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.
• Work with top talent: Collaborate with a highly skilled, cross-functional team of data scientists, engineers, and HR professionals in an innovative, fast-paced environment.
• Leverage cutting-edge technology: Access state-of-the-art cloud tools, graph databases, and large-scale ML models to tackle complex organizational challenges.
• Make a real impact: Use large, dynamic datasets to solve high-stakes business problems and drive data-informed decision-making at scale.
• Grow your career: Benefit from strong support for professional development, continued learning in machine learning, graph analytics, and AI, and mentorship from industry leaders.
• Join a data-driven culture: 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.

Benefits

• Comprehensive benefits package including 401(k) plan with employer match, paid time off, and paid parental leave.
• Medical, dental, and vision benefits for full-time employees.
• Wellness benefits and several paid holidays.
• Disability and basic life insurance.
• Family-forming assistance and a mental health program.