Staff Data Scientist - Trust and Safety

Databricks · San Francisco, California · Engineering - Pipeline · listed September 19, 2025

The shape of it

Seniority
Staff
Where
Not stated
Stated pay
$192,000 – $260,000 USD
Requirements listed
3
Length
944 words

In the posting’s own words

As a member of the Trust and Safety Data Science team, you will work on projects critical to ensuring the security and compliance of the Databricks Platform. Our customers depend on Databricks to keep their data safe, all while orchestrating millions of virtual machines across three clouds in dozens of regions around the globe.

What it asks for · 3

  • 7+ years of data science, machine learning, and advanced analytics experience in high-velocity, high-growth companies
  • Experience with distributed data processing systems like Spark and familiarity with software engineering principles.
  • Masters or higher in quantitative fields or equivalent experience in industry

Degree language

  • Masters or higher in quantitative fields or equivalent experience in industry

Tools and skills named

Data
  • Databricks10×
  • Spark
Security & compliance
  • Security9×
Models & research
  • Machine learning7×
Ways of working
  • Code review
  • Cross-functional
  • Testing
Languages
  • Python
  • SQL
Go to market
  • SaaS

Words the posting leans on

  • data14×
  • security8×
  • customers6×
  • experience6×
  • compliance5×
  • data science5×
  • engineering5×
  • machine learning5×
  • platform5×
  • product4×
  • trust4×
  • build3×
  • project3×
  • solutions3×
  • technical3×
  • world3×

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.