Senior Manager, Product Data Science

Job summary

Responsibilities

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work.

• Serve as the tech lead/manager of a Data Science team in the Product organization, leveraging AI tools and functions (e.g., Cortex AI functions, Agents, CoCo) to accelerate…
• Mentor team members in core DS disciplines and on the effective and governed use of generative AI tools, including establishing AI best practices and guardrails.
• Drive the team's focus toward AI-native deliverables, such as building out Agentic services, semantic views, and conducting AI evaluation for new product features, strategically…
• Be hands-on by serving as the primary data scientist on projects, specifically focusing on validating the accuracy and output quality of AI-powered analysis and developing POCs…
• Partner with technical and business stakeholders to not only come up with solutions to stated problems, but encourage and enable the team to develop bottoms up ideas.

What they're looking for

• Masters or PhD in Math/Statistics, Engineering, Computer Science, Science or related quantitative field
• 10+ years experience as a Data Scientist
• 5+ years of experience in building, managing, and leading a high-performing data science team
• Experience in using data science to optimize the user experience.
• Expert in SQL and Python.

Tech stack

• SQL
• Python
• Snowflake