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Databricks

Staff Data Scientist - Trust and Safety

Develops ML models for fraud/abuse detection and anomalous activity on Databricks platform. Analyzes security features, collaborates cross-functionally, and deploys production solutions. Requires 7+ years experience, MS in quantitative field, Python/SQL/Spark expertise.

192k – 260kSan Francisco, CAData ScienceOnsite7+ YOE
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About the role

Impact You Will Have

  • Develop and implement Machine Learning models to detect anomalous activity in products.
  • 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 from threats.
  • Create solutions and frameworks to meet compliance requirements.
  • 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 review.
  • Represent the data science discipline organization-wide to drive data-driven decisions.
  • Represent Databricks at academic and industrial conferences.

What We Look For

  • 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 cross-functionally and communicating results to non-technical partners.
  • Experience deploying Data Science / ML solutions in production.
  • Coding skills in SQL and a software development language (Python preferred).
  • 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).
  • Masters or higher in quantitative fields or equivalent industry experience.

Skills

Machine LearningPythonSQLSparkData ScienceSoftware EngineeringFraud DetectionAnomaly DetectionDistributed SystemsProduction Ml

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