Staff Data Scientist - Infrastructure

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems.

As a Staff Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by working on top priorities for the company.

The impact you will have:

• 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.
• 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.
• Represent the data science discipline throughout the organization.
• Represent Databricks at academic and industrial conferences & events.

What we look 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 various functions.
• Ability to deal with ambiguity in fast-paced environments.
• 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.
• M.S. or Ph.D. in quantitative fields.

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

Benefits: Databricks strives to provide comprehensive benefits and perks that meet the needs of all employees.