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Staff Data Scientist - Trust and Safety

Databricks· Trust and Safety Data Science
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San Francisco, CA$192k - $260kFull-timePosted 11mo ago

About the role

Databricks is building the world's best and most secure platform for data and AI. This role is part of the Trust and Safety Data Science team, focusing on data-driven analysis and ML solutions to ensure security, compliance, and safe usage of the Databricks platform across multiple clouds and regions.

Responsibilities

  • You will develop and implement Machine Learning models to detect anomalous activity in products that we offer.
  • You will analyze the performance and pricing of security-related features and work with product and engineering teams to identify important opportunities.
  • You will collaborate with security engineers, trust and safety experts, and machine learning engineers to build a variety of systems and tools that protect Databricks and our customers from threats.
  • You will create solutions and frameworks to meet compliance requirements at Databricks
  • You will gather requirements, define project OKRs and milestones, and communicate progress to both technical and non-technical audiences.
  • You will guide junior data scientists and interns on the team by helping with project planning, technical decisions, and code and document review.
  • You will represent the data science discipline throughout the organization, using your powerful voice to make us more data-driven.
  • You will represent Databricks at academic and industrial conferences and events.

Qualifications

  • 7+ years of data science, machine learning, and advanced analytics experience in high-velocity, high-growth companies
  • Understanding of good software engineering practices around testing, code reviews, and deployment.
  • Experience working in a highly cross functional alignment and talking about 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 experience in industry

Skills

Required:Machine LearningPythonSQLSparkSoftware Engineering Practices

Benefits

  • Benefits information available via company link
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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