Staff Data Scientist - Infrastructure

Job title: Staff Data Scientist - Infrastructure

About the Role At Databricks, you will join the Data Team as a Staff Data Scientist focused on infrastructure and data-driven tooling. This role helps shape our data-driven culture by tackling top company priorities and acting as a production-minded ally for product and platform teams.

What You'll Do

• Inform decision making by building robust data science tooling for business leaders, analysts, and other data scientists.
• Work closely with Data Platform and Product Engineering teams to integrate data science tooling with existing Data team offerings and the core product.
• Lead insight generation for top company priorities, and key Engineering initiatives (reliability, and efficiency).
• Gather changing requirements, define project OKRs and milestones, and communicate progress and results to both technical and non-technical audiences.
• Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review.
• Represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven.
• Represent Databricks at academic and industrial conferences & events.

What We're Looking For

• 7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies.
• Extensive experience in applying Data Science / ML in production to build data-driven products for solving business problems.
• Experience collaborating with and understanding the needs of Senior level stakeholders from Engineering, Product, and Technical Operations.
• Ability to deal with ambiguity in fast paced environments by clarifying requirements and having a keen sense of 0 to 1 solutions.
• Adept at operating both as an individual contributor and identifying how to orchestrate the build through peers and investments in scalable tooling.
• Strong coding skills in Python and SQL.
• Experience with distributed data processing systems like Spark and familiarity with software engineering principles around testing, code reviews and deployment.
• M.S. or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering).

Compensation & Benefits

• Local Pay Range $192,000—$260,000 USD.
• The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.