Staff Data Scientist

About the Role Databricks is seeking a Staff Data Scientist to help shape key data science areas such as segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights. You will partner with Engineering, Product Management, Sales and Customer Success to understand product usage patterns and drive data-driven decisions. You will also mentor junior data scientists and build self-serving internal data products to democratize data across the company.

What You'll Do

• Shape the direction of key data science areas including segmentation, recommendations, forecasting, product analytics, churn insights, and cohorts analysis.
• Work closely with Engineering, Product Management, Sales and Customer Success to understand usage patterns and make data-driven recommendations and forecasts.
• Manage stakeholders for your focus area — gather evolving requirements, define OKRs and milestones, and communicate progress to non-technical audiences.
• Mentor and guide junior data scientists on project planning, technical decisions, and code and document reviews.
• Represent the data science discipline across the organization to promote a data-driven culture.
• Build self-serving internal data products to simplify data access for teams.
• Represent Databricks at academic and industrial conferences and events.

What We're Looking For

• 7+ years of data science, machine learning, and analytics experience in high-velocity, high-growth companies.
• End-to-end experience in applying data science / ML to develop and deploy data-driven products.
• Familiarity with product data science concepts such as adoption, churn, cohorts, segmentation, and funnel analysis.
• Experience collaborating with stakeholders from multiple business functions (Product, Sales, Engineering; Marketing and Finance as needed).
• Strong coding skills in Scala or Python; understanding of testing, code reviews and deployment.
• Proficiency in data analysis and visualization with R and Python; experience with Spark and SQL.
• MS or PhD in quantitative fields (e.g., Statistics, Mathematics, Computer Science, Physics, Economics, Operations Research or Engineering).

Nice to Have

• Experience with distributed data processing platforms and production ML workflows (e.g., Spark, MLflow, Delta Lake).

Compensation & Benefits

• Local Pay Range: $192,000 - $260,000 USD. The total compensation may include annual performance bonuses, equity, and the benefits listed above.
• For more information on benefits, please refer to the company benefits page.