Staff Data Scientist - Trust and Safety

Databricks is building the world's best and most secure platform for data and AI.

As a member of the Trust and Safety Data Science team, you will work on projects critical to ensuring the security and compliance of the Databricks Platform.

The 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 throughout the organisation.
• Represent Databricks at academic and industrial conferences and events.

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.
• Experience working in a highly cross-functional alignment.
• Experience deploying Data Science / ML solutions in production.
• Coding skills in SQL and a software development language (preferably Python).
• Experience with distributed data processing systems like Spark.
• 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 experience.

Pay Range Transparency The pay range for this role is $192,000-$260,000 USD.

Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.