Senior Data Scientist

About the Role

Join Moveworks as a Senior Data Scientist focused on driving product and platform outcomes through data-driven metrics and ML. You will partner with executives, product, and engineering to define key metrics, forecast impact, and build self-serve analytics that empower cross-functional teams. What You'll Do

• Partner with executive, product and engineering teams to define and govern Moveworks’ critical product metrics, ensuring consistency, accuracy, and alignment across the company.

• Apply rigorous statistical and machine learning techniques to unearth the critical levers that drive our core metrics, and forecast and measure the impact of initiatives on business outcomes.

• Analyze and measure core engineering system performance, isolating signal from noise by controlling for confounding variables (e.g., usage patterns, resource supply, and skill activation).

• Lead the design, development, and ownership of best practices, tools, and processes for building scalable and robust analytical systems that automate established analyses and empower cross-functional partners with self-serve insights.

• Drive the development of DS workflow and AI-native integrations (e.g., Superset MCP, Claude integrations) that extend self-serve data access and reduce time-to-insight for stakeholders.

• Provide technical mentorship to junior data scientists and contribute to hiring and team-building, establishing best practices for data modeling, pipeline design, and evaluation methodology. What We're Looking For

• M.S. or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field, plus 5+ years of progressive experience building and deploying production analytics or ML solutions for enterprise software products.

• Demonstrated expertise in LLM evaluation methodology, including dataset curation, benchmarking, and regression detection for AI/LLM systems.

• Proven experience architecting scalable data pipelines using distributed systems (e.g., PySpark/Spark SQL), orchestration frameworks (e.g., Airflow), and cloud platforms (e.g., AWS EMR, S3, Snowflake or equivalent).

• Proficiency in Python and SQL; track record of translating complex analytical work into measurable business outcomes and operational KPIs.

• Demonstrated ability to lead technical workstreams and drive cross-functional alignment.

• Experience providing technical leadership and mentoring to data scientists or engineers.

• Experience building evaluation pipelines or harnesses for agentic or LLM-powered systems.

• Experience with conversational analytics, NLP, or AI-assisted data exploration tooling.

• Prior work on self-serve analytics platforms or customer-facing data products at enterprise scale.

• Experience using modern AI productivity tooling (e.g., Claude, Cursor, Codex) within an enterprise SDLC. Compensation & Benefits

• Base Salary Range: USD 161,300 – 274,200 per year.