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Senior Manager, Product Data Science

Snowflake · US-CA-Menlo Park

Big Tech AIremotesenior manager$227k–$327k
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At a glance

Highlights

  • Lead Product Data Science for app experience and data marketplace areas.
  • Simplify access to third-party data to a single click for customers.
  • Build agentic services and evaluate AI-powered product features.

Ideal candidate

AI-native leader with deep product data science experience who thrives in fast-moving environments. Low-ego mentor energized by reinventing work with AI and driving impact through user-centric innovation.

Requirements

  • Masters or PhD in Math/Statistics, Engineering, Computer Science, Science or related quantitative field
  • 10+ years experience as a Data Scientist
  • 5+ years experience building, managing and leading a high-performing data science team
  • Experience using data science to optimize user experience
  • Expert in SQL and Python
  • Advanced knowledge in machine learning and LLMs including validating AI outputs
  • Ability to communicate complex ideas to cross-functional stakeholders

Lab profile

About Snowflake

Cloud data platform for storage, analytics, data sharing, and enterprise AI workloads.

What they build

  • Snowflake Data Cloud
  • Data warehousing and data lakes
  • Snowpark developer framework

Known for

  • Elastic scalable cloud architecture
  • Secure governance and data sharing
  • Multi-cloud analytics and AI

Key facts

  • Founded in 2012
  • Headquartered in Bozeman, Montana
  • Public company (NYSE: SNOW)
More about Snowflake →
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