Staff Data Scientist - Infrastructure
-57 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.
What this role actually needs.
-57 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Requirements: - 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. - 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. Company context: Databricks is the data and AI lakehouse platform used by the world's largest enterprises for analytics, ML, and generative AI.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 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.
- 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.
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Staff Data Scientist - Infrastructure is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
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On-site roles in Mountain View should be compared against commute, local salary bands, and nearby employer demand.
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- Compensation is hidden, so get range clarity in the first recruiter conversation.
- Use open to tn, h-1b, and opt candidates already in the united states as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in on-site environments.
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Apply through the employer source
Open the source listing from databricks.com, confirm the role is still active, then apply on the employer or ATS page.
Source: databricks.com · Source ID: 7069793002 · Confidence: 93/100 · Last checked: May 7, 2026
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