Senior Data Scientist - Product
Senior Data Scientist partners with Product and Engineering teams to build data models, ML frameworks, and analytics for feature roadmaps and customer insights. Requires MS/PhD, 8+ years experience, expert SQL/Python, and MPP database fluency.
About the job
Responsibilities
- Partner with Product Management and Engineering to shape feature roadmaps, design metrics, and analytical workflows.
- Build efficient data models, high-quality production pipelines, and telemetry with Engineering.
- Develop scalable analytics/ML/causal inference frameworks to uncover feature usage patterns, issues, performance enhancements, and customer experience improvements.
- Adopt early Snowflake features, provide feedback, and evaluate dissemination surfaces (Notebook/Worksheet/Snowsight/Streamlit).
- Influence decisions, drive initiatives for better customer outcomes.
- Answer executive questions for board reporting and contribute to industry reports.
- Think creatively to solve complex, unstructured problems.
Requirements
- MS/Ph.D. in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS).
- 8+ years of relevant data science or related experience.
- Expert-level SQL & Python (scikit-learn, numpy, pandas).
- Experience with large-scale machine-generated data (logs, telemetry, usage data).
- High fluency with MPP databases (Snowflake, Redshift, BigQuery, Vertica).
- Expert data-driven storytelling to influence business and technical stakeholders.
- Ability to thrive in dynamic environments.
Skills
SQL, Python, scikit-learn, NumPy, pandas, Snowflake, Redshift, BigQuery, Causal Inference, Mpp Databases
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