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Staff Data Scientist - Infrastructure

Databricks· Engineering
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Mountain View, CA$192k - $260kfull-timePosted 11mo ago

About the role

Databricks is seeking a Staff Data Scientist to help build data-driven tooling and insights for the Data Team, collaborating with Data Platform and Product Engineering to extend data science capabilities into the core product, and to lead strategic initiatives and mentorship.

Responsibilities

  • Inform decision making by building robust data science tooling for business leaders, analysts, and other data scientists.
  • Work closely with Data Platform and Product Engineering teams to integrate data science tooling with existing Data team offerings and the core product.
  • Lead insight generation for top company priorities, and key Engineering initiatives (reliability, and efficiency).
  • Gather changing requirements, define project OKRs and milestones, and communicate progress and results to both technical and non-technical audiences.
  • Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review.
  • Represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven.
  • Represent Databricks at academic and industrial conferences & events.

Qualifications

  • 7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies
  • Extensive experience in applying Data Science / ML in production to build data-driven products for solving business problems.
  • Experience collaborating with and understanding the needs of Senior level stakeholders from a variety of functions including: Engineering, Product, and Technical Operations.
  • Ability to deal with ambiguity in fast paced environments by clarifying requirements and having a keen sense of 0 to 1 solutions.
  • Adept at operating both as an individual contributor and identifying how to orchestrate the build through peers and investments in scalable tooling.
  • Strong coding skills in Python and SQL
  • Experience with distributed data processing systems like Spark and familiarity with software engineering principles around testing, code reviews and deployment.
  • M.S. or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering)

Skills

Required:PythonSQLDistributed data processingStakeholder collaborationCommunication

Benefits

  • Benefits information is referenced but not enumerated in the text. Please refer to the linked benefits document for region-specific details.
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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