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Staff Data Scientist - Trust and Safety

databricks
San Francisco, California
On-siteUSD 192,000 - 260,000 / year

About this role

Job title: Staff Data Scientist - Trust and Safety

About the Role Databricks is building the world's best and most secure platform for data and AI. As part of the Trust and Safety Data Science team, you will work on projects critical to ensuring security and compliance of the Databricks Platform, partnering with security engineers and product teams to protect customers while the platform scales across clouds and regions.

What You'll Do

  • Develop and implement Machine Learning models to detect anomalous activity in Databricks products.
  • Analyze performance and pricing of security-related features and collaborate with product and engineering to identify opportunities.
  • Build a variety of systems and tools with security engineers, trust and safety experts, and ML engineers to protect Databricks and customers from threats.
  • Create solutions and frameworks to meet compliance requirements at Databricks.
  • Gather requirements, define project OKRs and milestones, and communicate progress to technical and non-technical audiences.
  • Guide junior data scientists and interns on project planning, technical decisions, and code/document reviews.
  • Represent the data science discipline across the organization and at conferences and events.

What We're Looking For

  • 7+ years of data science, machine learning, and advanced analytics experience in high-velocity, high-growth companies.
  • Understanding of software engineering practices around testing, code reviews, and deployment.
  • Experience working in cross-functional alignment and communicating results to non-technical partners.
  • Experience deploying data science / ML solutions in production to achieve results.
  • Coding skills in SQL and a software development language (preferably Python).
  • Experience with distributed data processing systems like Spark and familiarity with software engineering principles.
  • Prior experience applying machine learning and data analytics to identify SaaS product misuse and enhance compliance preferred but not required.
  • Masters or higher in quantitative fields or equivalent industry experience.

Compensation & Benefits

  • Local Pay Range: $192,000—$260,000 USD per year.
  • The total compensation package may include annual performance bonus, equity, and standard benefits. For location-specific details, see the company page.

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