Snowflake
Technology
SeniorManager,ProductDataScience
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Manager, Product Data Science at Snowflake. Skills: Data Science, Machine Learning, Large Language Models, Team leadership. Serve as tech lead/manager of Data Science team. Leverage AI tools and functions”
Industry & Context.
Solve problems; Accelerate impact; Discover simpler ways; Discover powerful ways
Follow confidentiality and security standards, Abide by data security plan, Keep customer information secure and confidential
What They're Looking For.
Must Have
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, Expert in SQL, Expert in Python, Demonstrated experience with internal AI tools, Advanced knowledge/experience in machine learning, Advanced knowledge/experience in Large Language Models (LLMs)
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Serve as tech lead/manager of Data Science team
Leverage AI tools and functions
Mentor team members in core DS disciplines
Mentor on effective and governed use of generative
Establish AI best practices and guardrails
Drive team's focus toward AI-native deliverables
Build out Agentic services
Build out semantic views
Conduct AI evaluation for new product features
Strategically shift away from automatable work
Serve as primary data scientist on projects
Validate accuracy and output quality of AI-powered analysis
Develop POCs for new AI-driven product features
Partner with technical and business stakeholders
Develop bottoms up ideas
Ensure data scientists have best and correct context
Ensure skill sets are properly matched to project
Convince job candidates on why Snowflake is awesome
How You'll Work.
Team & Collaboration
Interact with senior management; Interact with product managers; Interact with engineering managers; Communicate complex technical ideas
Communication Scope
Communicate complex ideas; Influence stakeholders
Full Job Description
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. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We’re looking for a Senior Manager to lead our App Experience & Marketplace Data Science team in the Product organization. You will lead a team covering app experience (UI, growth platform, analyst/admin/data engineer tools and experience) and data marketplace areas. - Well designed high value apps are essential to make it simple for our customers to complete billions of SQL queries, deploy python, and use powerful AI tools every day - Data marketplace makes it easy with a click of a button to get access to a wide range of 3rd party data instead of having to contact a sales representative at a data vendor and setup and maintain a complex API. All the projects above allow the data scientist to work on very large datasets, and a variety of diverse interesting projects that span the domains of data engineering, analytics, statistics, and machine learning. In this role, you will both lead a team, and be hands-on as a tech lead in this area. The manager will interact frequently with senior management, product managers, and engineering managers. The ability to effectively communicate complex technical ideas to a wide audience is crucial. IN THIS ROLE YOU WILL: - Serve as the tech lead/manager of a Data Science team in the Product organization, leveraging AI tools and functions (e
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