Staff Data Scientist - Trust and Safety

The role

You will develop and implement machine learning models to detect anomalous activity. You will work with engineering and security teams on strategic plans to ensure the security and compliance of the Databricks Platform.

What you will do

• Develop and implement Machine Learning models to detect anomalous activity in products.
• Analyze performance and pricing of security-related features.
• Collaborate with security engineers, trust and safety experts, and machine learning engineers.
• Create solutions and frameworks to meet compliance requirements.
• Gather requirements, define project OKRs and milestones, and communicate progress.
• Guide junior data scientists and interns on project planning, technical decisions, and code and document review.
• Represent the data science discipline throughout the organization.
• Represent Databricks at academic and industrial conferences and events.

Required 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
• 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

Nice to have

• Python
• Prior experience applying machine learning and data analytics to identify SaaS product misuse and enhance compliance

About the company

Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.