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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Data Scientist - Infrastructure - **Company:** Databricks - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Salary:** $192,000.0 - $260,000.0 - **Contract:** Permanent contract - **Skills:** Code Review, Data Infrastructure, Distributed Computing Environment, Python (Programming Language), Machine Learning, Standard Sql, Software Engineering, Apache Spark, Information Technology, Data Analytics, Software Coding, Databricks - **Published:** May 31, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d7365b48fae8a753 ## About the Role Do you have experience in Tooling?, * 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 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. * 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) Pay Range Transparency ## Description As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping work on top priorities for the company. The Data team also functions as an in-house, production "customer" that dog foods Databricks and drives the future direction of the products. The impact you will have: * "Analysis at the speed of thought": Inform decision making by building robust data science tooling for business leaders, analysts, and other data scientists. * "Extend capabilities of Databricks": Work closely with Data Platform and Product Engineering teams to integrate data science tooling with existing Data team offerings and the core product * "Strategic business insights": 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. ## Related Videos - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Are Code Reviews Worth It? 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