Staff Data Scientist - Trust and Safety

Databricks
San Francisco
Workplace: OnsiteFull timeUSD 192,000 - 260,000 annuallyFunction: Data Science & Machine LearningExperience: 7+ yearsEducation: mastersSkills: ["Communication","Collaboration","Presentation","Mentoring","Problem-solving"]

Join the Trust and Safety Data Science team to build ML models for fraud and abuse detection, analyze security feature performance, and collaborate with engineering, security, and product partners to ensure Databricks’ platform remains secure and compliant. You’ll lead data-driven initiatives, mentor juniors, and represent the data science discipline across the organization, advancing high-impact security outcomes for customers.

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FursaFursa
Databricks
Databricks
11 months ago

Staff Data Scientist - Trust and Safety

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Join the Trust and Safety Data Science team to build ML models for fraud and abuse detection, analyze security feature performance, and collaborate with engineering, security, and product partners to ensure Databricks’ platform remains secure and compliant. You’ll lead data-driven initiatives, mentor juniors, and represent the data science discipline across the organization, advancing high-impact security outcomes for customers.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Develop and implement Machine Learning models to detect anomalous activity in products we offer
  • •Analyze the performance and pricing of security-related features and work with product and engineering teams to identify opportunities
  • •Collaborate with security engineers, trust and safety experts, and machine learning engineers to build systems and tools that protect Databricks and customers
  • •Create solutions and frameworks to meet compliance requirements at Databricks
  • •Guide junior data scientists and interns on project planning, technical decisions, and code/document reviews

Pay and Benefits

Salary: USD 192,000 - 260,000 annually
Equity and Bonus:Equity
Perks:EquityAnnual Bonus

Key Requirements

  • •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:7+ yearsData scienceMachine learningAnalyticsSaaS
Education:Master's
Skills:CommunicationCollaborationPresentationMentoringProblem-solving
Tech Stack:SQLPythonSpark

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn