{"id":156488,"url":"https://alion.io/job/databricks-staff-data-scientist-trust-and-safety","title":"Staff Data Scientist - Trust and Safety","company":{"id":15,"name":"Databricks","domain":"databricks.com","url":"https://alion.io/company/databricks","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":855,"ghost_share":0.264,"stale_share":0,"repost_share":0.004,"time_to_fill_p50_days":76,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":192000,"max":260000,"currency":"USD","period":"year","gross":null,"usd_annual":260000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2025-09-19T20:40:00Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-10-28T08:47:43Z","board_verified":true,"closed_at":null,"days_open":403,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":403},"description":"RDQ426R282\nDatabricks 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. \nAs a member of the Trust and Safety Data Science team, you will work on projects critical to ensuring the security and compliance of the Databricks Platform. Our customers depend on Databricks to keep their data safe, all while orchestrating millions of virtual machines across three clouds in dozens of regions around the globe.\nOur engineering teams build highly technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is critical to making customers successful on our platform. We serve many companies with varying security and compliance needs. To efficiently serve these markets, we need to understand how customers use our existing features. This requires data-driven analysis of all aspects of security programs at Databricks.\nCustomers also trust Databricks with their most valuable data and we have the mission to build the most trusted data analytics and ML platform in the world. We’re looking to expand our Trust and Safety Data Science team. You will join a group of “full stack” data scientists who partner with engineering and security teams, focusing on strategic plans that make Databricks secure and safe for our customers. The team will use statistical and machine learning techniques for fraud and abuse detection on our platforms using state of the art methods . You can read more about some of our efforts in this blog post. The work in fraud and abuse detection is dynamic and essential, offering an opportunity to make a substantial impact in maintaining the security and efficiency of business operations.\nMore information is available at https://www.databricks.com/trust.\nThe impact you will have:\nYou will develop and implement Machine Learning models to detect anomalous activity in products that we offer.\nYou will analyze the performance and pricing of security-related features and work with product and engineering teams to identify important opportunities.\nYou will collaborate with security engineers, trust and safety experts, and machine learning engineers to build a variety of systems and tools that protect Databricks and our customers from threats.\nYou will create solutions and frameworks to meet compliance requirements at Databricks\nYou will gather requirements, define project OKRs and milestones, and communicate progress to both technical and non-technical audiences.\nYou will guide junior data scientists and interns on the team by helping with project planning, technical decisions, and code and document review.\nYou will represent the data science discipline throughout the organization, using your powerful voice to make us more data-driven.\nYou will represent Databricks at academic and industrial conferences and events.\nWhat we look for:\n7+ years of data science, machine learning, and advanced analytics experience in high-velocity, high-growth companies\nUnderstanding of good software engineering practices around testing, code reviews, and deployment.\nExperience working in a highly cross functional alignment and talking about results to non-technical partners.\nExperience deploying Data Science / ML solutions in production to achieve results.\nCoding skills in SQL and a software development language (preferably Python)\nExperience with distributed data processing systems like Spark and familiarity with software engineering principles.\nPrior experience applying machine learning and data analytics to identify SaaS product misuse and enhance compliance preferred but not required.\nMasters or higher in quantitative fields or equivalent experience in industry\nPay Range Transparency\nDatabricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.\nLocal Pay Range\n$192,000—$260,000 USD\nAbout Databricks\nDatabricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.\nBenefits\n At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.\nOur Commitment to Diversity and Inclusion\nAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\nCompliance\nIf 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.","description_format":"text","description_chars":6352,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Query Engines & Big Data Processing","Data Warehouses & Lakehouses","MLOps"],"lifecycle":[{"event":"open","at":"2025-09-19T20:40:00Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 517 · green card filings: 130","filings_12m":517,"filings_prev_12m":400,"green_card_filings_12m":130,"median_offered_wage_usd":157253,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":20}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.3,"p_room":0.28,"age_days":403,"expected_fill_days":76,"reasons":["conf:1","velocity","ghost","win:tail","crowd:brand"],"computed_at":"2026-10-28T05:59:10Z"},"pay":{"stated_usd_annual":260000,"is_top_pay":true},"html_url":"https://alion.io/job/databricks-staff-data-scientist-trust-and-safety","json_url":"https://alion.io/job/databricks-staff-data-scientist-trust-and-safety.json","meta":{"generated_at":"2026-10-28T11:15:27Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":14616,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":15},"rest":"https://alion.io/mcp/rest/get_company?id=15"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdatabricks-staff-data-scientist-trust-and-safety"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdatabricks-staff-data-scientist-trust-and-safety"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdatabricks-staff-data-scientist-trust-and-safety"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/databricks-staff-data-scientist-trust-and-safety\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdatabricks-staff-data-scientist-trust-and-safety"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":156488}},{"tool":"search_jobs","arguments":{"company":"databricks.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":156488},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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