Senior Data Scientist - Product

About the Role

Key Responsibilities

• 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.
• Build efficient data models and high quality production pipelines and partner with Engineering for all necessary telemetry.
• Build scalable and extensible analytics/ML/causal inference frameworks to uncover feature usage patterns, subtle issues with the system, potential performance enhancements, and areas to improve customer experience.
• Be an early adopter/pro user of Snowflake features and provide feedback on design parameters.
• Evaluate the right surface (Snowflake Notebook/Worksheet/Snowsight Dashboards/Streamlit Apps) to disseminate insights for maximal impact.
• Influence decisions and drive initiatives with Product Management and Engineering teams to improve outcomes for customers.
• Answer questions from the executive team for reporting to the board and contribute to industry reports and publications.
• Think creatively and be resourceful to find solutions to complex, often unstructured problems.

Requirements

• MS/Ph.D. in a quantitative discipline such as Math, Statistics, Operations Research, Economics, Engineering, or Computer Science.
• 8+ years of relevant data science or related experience.
• Expert-level experience working with SQL & Python, including scikit-learn, numpy, and pandas.
• Experience working with large-scale machine-generated data such as logs, application telemetry, or customer usage data.
• High fluency with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc.
• Strong data-driven storytelling skills to convey insights to business leaders and technical stakeholders.
• Ability to thrive in a dynamic environment, being flexible and willing to contribute in various ways.

Nice to Have

• Experience with Snowflake or similar cloud data platforms.
• Knowledge of AI/ML frameworks and causal inference techniques.
• Experience with industry reporting and technical publications.

Qualifications

• Educational background with MS or Ph.D. in a relevant quantitative discipline.

Benefits & Perks

• Competitive salary range of $182,000 - $254,100 plus bonus and equity plan.
• Medical, dental, vision, life, and disability insurance.
• 401(k) retirement plan.
• Flexible spending & health savings accounts.
• At least 12 paid holidays and paid time off.
• Parental leave.
• Employee assistance program.
• Other company benefits.