Principal Data Scientist - SQL Team
Snowflake
- San Mateo, CA
- Permanent
- Full-time
- Be a proactive partner to Product Management and Engineering to shape feature roadmaps and help design metrics and analytical workflows to evaluate their success and effectiveness.
- Architect efficient data models and high-quality production pipelines and partner with Engineering for all necessary telemetry.
- Build scalable and extensible analytics/ML frameworks to uncover feature usage patterns, subtle issues with the system, potential performance enhancements, and areas to improve customer experience.
- Evaluate the right surface (Snowflake Notebook/Worksheet/Snowsight Dashboards/Streamlit Apps) to disseminate your insights for maximal impact.
- Influence decisions and drive initiatives with the Product Management and Engineering teams to drive better outcomes for our customers.
- Answer questions from the executive team for reporting to the board and contribute to industry reports and similar publications.
- Think creatively and be scrappy to find optimal solutions to our complex, often unstructured problems.
- MS/Ph.D. in quantitative discipline (CS, Data Science, Engineering, Statistics, or Math)
- 12+ years of relevant data science or related experience.
- Expert-level experience working with SQL & Python including scikit-learn, numpy, and pandas.
- Expert in working with large-scale machine generated data (e.g., logs, application telemetry, or customer usage data).
- Experience with cloud databases, such as Snowflake, Redshift, BigQuery, Vertica, etc. is a plus
- Working closely with the engineering and product management teams
- The ability to thrive in a dynamic environment, being flexible and willing to jump in and do whatever it takes to contribute to the success of your area.