Staff Data Scientist - Trust And Safety
RDQ426R282 Databricks is building the world's best and most secure platform for data and AI. We innovate and deploy industry-leading solutions in security, compliance, and governance. As a member of the Trust and Safety Data Science team, you will work on projects critical to ensuring the security and compliance
What this role actually needs.
RDQ426R282 Databricks is building the world's best and most secure platform for data and AI. We innovate and deploy industry-leading solutions in security, compliance, and governance. As a member of the Trust and Safety Data Science team, you will work on projects critical to ensuring the security and compliance Requirements: - You will gather requirements, define project OKRs and milestones, and communicate progress to both technical and non-technical audiences. - You will guide junior data scientists and interns on the team by helping with project planning, technical decisions, and code and document review. - You will represent the data science discipline throughout the organization, using your powerful voice to make us more data-driven. - You will represent Databricks at academic and industrial conferences and events. - 7+ years of data science, machine learning, and advanced analytics experience in high-velocity, high-growth companies - Understanding of good software engineering practices around testing, code reviews, and deployment. 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.
- You will gather requirements, define project OKRs and milestones, and communicate progress to both technical and non-technical audiences.
- You will guide junior data scientists and interns on the team by helping with project planning, technical decisions, and code and document review.
- You will represent the data science discipline throughout the organization, using your powerful voice to make us more data-driven.
- You will represent Databricks at academic and industrial conferences and events.
- 7+ years of data science, machine learning, and advanced analytics experience in high-velocity, high-growth companies
- Understanding of good software engineering practices around testing, code reviews, and deployment.
Why this listing is more than a copied job post.
Staff Data Scientist - Trust And Safety is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
United States tech market
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Compensation read
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Work authorization read
Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
Location read
On-site roles in San Francisco should be compared against commute, local salary bands, and nearby employer demand.
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Next moves
- Tailor your resume around ai and machine-learning instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to staff data scientist - trust and safety is a high-signal on-site role in san francisco, and it is most realistic for open to tn, h-1b, and opt candidates already in the united states.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
Interview themes
Watchouts
- 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.
Keywords to match against your background
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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: 8178287002 · Confidence: 93/100 · Last checked: May 7, 2026
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