Senior Data Scientist (Product)

• The Product Data Science team is looking for a Full-stack Senior Data Scientist to come aboard and be part of Snowflake’s most critical initiatives
• In this role, you will work closely with our Product and Engineering teams on everything from core operations, to innovative AI/ML tools, to our fastest-growing new and experimental features
• You will work on long-running analytical initiatives yielding substantial product enhancements. This is a strategic, high-impact role that will help shape the future of Snowflake products and services
• 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 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

Benefits

• Comprehensive health insurance plans
• Health savings accounts
• Robust retirement plans
• Life and disability insurance
• Weekly online lunch and learns
• Virtual workout classes
• Ergonomic work-from-home equipment
• On-demand mental health and wellness programs
• Fertility benefits and family planning resources
• Generous time-off and various leave plans
• Onsite and Remote Work
• Employee discounts and pre-tax selections
• New hire equity + Employee Stock Purchase Plan (ESPP)
• Quarterly bonus or commission program- MS/Ph.D. in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS)
• High fluency with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc
• Expert data-driven storytelling skills to convey insights to business leaders and technical stakeholders and influence decisions
• 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
• Expert-level experience working with SQL & Python including scikit-learn, numpy, and pandas
• 8+ years of relevant data science or related experience
• Expert in working with large-scale machine generated data (e.g., logs, application telemetry, or customer usage data)