Staff Data Scientist - Infrastructure

Databricks · Mountain View, California · Engineering - Pipeline · listed December 19, 2023

The shape of it

Seniority
Staff
Where
Not stated
Stated pay
$192,000 – $260,000 USD
Requirements listed
8
Length
915 words

In the posting’s own words

As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping work on top priorities for the company. The Data team also functions as an in-house, production "customer" that dog foods Databricks and drives the future direction of the products.

What it asks for · 8

  • 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)

What the job covers

  • “ Analysis at the speed of thought ”: Inform decision making by building robust data science tooling for business leaders, analysts, and other data scientists.
  • “ Extend capabilities of Databricks ”: Work closely with Data Platform and Product Engineering teams to integrate data science tooling with existing Data team offerings and the core product
  • “ Strategic business insights ”: 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.

Degree language

  • M.S. or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering)

Tools and skills named

Data
  • Databricks7×
  • Spark3×
  • Statistics
Languages
  • Python
  • SQL
Models & research
  • Machine learning2×
Ways of working
  • Code review
  • Testing
Go to market
  • SaaS
Security & compliance
  • Security

Words the posting leans on

  • data17×
  • engineering6×
  • product6×
  • data science5×
  • build4×
  • customers4×
  • experience4×
  • platform4×
  • technical4×
  • world4×
  • business3×
  • operating3×
  • organization3×
  • scale3×
  • software3×
  • build data-driven2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 24, 2026 and last changed by Databricks on August 18, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.