At Databricks, the business problem is to enable data teams to solve the world's toughest problems by building and running the world's best data and AI infrastructure platform. The Data Scientist role specifically aims to help build a data-driven culture within Databricks by working on top priorities for the company and dogfooding Databricks products to drive future direction.
Requirements
- 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.
- 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.
Responsibilities
- 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.
Other
- Experience collaborating with and understanding the needs of Senior level stakeholders from a variety of functions including: 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.
- M.S. or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering)
- If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
