{"id":66341,"url":"https://alion.io/job/snowflake-senior-data-scientist-product","title":"Senior Data Scientist - Product","company":{"id":96,"name":"Snowflake","domain":"snowflake.com","url":"https://alion.io/company/snowflake","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":86,"open_postings":50,"ghost_share":0,"stale_share":0.56,"repost_share":0,"time_to_fill_p50_days":54,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Menlo Park, United States","Bellevue, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":168000,"max":220500,"currency":"USD","period":"year","gross":null,"usd_annual":220500},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"BigQuery","optional":false},{"name":"Google BigQuery","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"Vertica","optional":false}],"status":"live","first_seen_at":"2025-08-27T22:58:39Z","employer_posted_date":"2025-08-27","last_verified_at":"2026-10-17T14:11:15Z","board_verified":true,"closed_at":null,"days_open":415,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":415},"description":"At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.\nThe Product Data Science team is looking for a Full-stack Senior Data Scientist to come aboard and be part of Snowflake’s most critical initiatives. In this role, you will work closely with our Product and Engineering teams on everything from core operations, to innovative AI/ML tools, to our fastest-growing new and experimental features. You will work on long-running analytical initiatives yielding substantial product enhancements. This is a strategic, high-impact role that will help shape the future of Snowflake products and services.\nPLEASE NOTE: The position level is determined during the interview process and is influenced by various factors, including experience, educational attainment, skill level requirements, and overall interview performance.\nAS A SENIOR FULL STACK DATA SCIENTIST AT SNOWFLAKE YOU WILL:\nBe a proactive partner to Product Management and Engineering to shape feature roadmaps and help design metrics and analytical workflows to evaluate their success and effectiveness.\n\nBuild efficient data models and high quality production pipelines and partner with Engineering for all necessary telemetry.\n\nBuild scalable and extensible analytics/ML/causal inference frameworks to uncover feature usage patterns, subtle issues with the system, potential performance enhancements, and areas to improve customer experience.\n\nBe an early adopter/pro user of Snowflake features and provide feedback on design parameters.\n\nEvaluate the right surface (Snowflake Notebook/Worksheet/Snowsight Dashboards/Streamlit Apps) to disseminate your insights for maximal impact.\n\nInfluence decisions and drive initiatives with the Product Management and Engineering teams to drive better outcomes for our customers.\n\nAnswer questions from the executive team for reporting to the board and contribute to industry reports and similar publications.\n\nThink creatively and be scrappy to find optimal solutions to our complex, often unstructured problems.\n\nOUR IDEAL CANDIDATE WILL HAVE:\nMS/Ph.D. in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS).\n\n8+ years of relevant data science or related experience.\n\nExpert-level experience working with SQL & Python including scikit-learn, numpy, and pandas.\n\nExpert in working with large-scale machine generated data (e.g., logs, application telemetry, or customer usage data).\n\nHigh fluency with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc.\n\nExpert data-driven storytelling skills to convey insights to business leaders and technical stakeholders and influence decisions.\n\nThe ability to thrive in a dynamic environment, being flexible and willing to jump in and do whatever it takes to contribute to the success of your area. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.\n\nSnowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.\nHow do you want to make your impact?\nFor jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com","description_format":"text","description_chars":4216,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Warehouses & Lakehouses","Databases & DBMS","Data Marketplaces, Sharing & Clean Rooms"],"lifecycle":[{"event":"open","at":"2025-08-27T22:58:39Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 529 · green card filings: 106","filings_12m":529,"filings_prev_12m":372,"green_card_filings_12m":106,"median_offered_wage_usd":160862,"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":38}],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.141,"p_room":0.28,"age_days":415,"expected_fill_days":54,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":220500,"is_top_pay":true},"html_url":"https://alion.io/job/snowflake-senior-data-scientist-product","json_url":"https://alion.io/job/snowflake-senior-data-scientist-product.json","meta":{"generated_at":"2026-10-17T14:25:32Z","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":19428,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":96},"rest":"https://alion.io/mcp/rest/get_company?id=96"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsnowflake-senior-data-scientist-product"},{"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%2Fsnowflake-senior-data-scientist-product"},{"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%2Fsnowflake-senior-data-scientist-product"},{"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/snowflake-senior-data-scientist-product\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsnowflake-senior-data-scientist-product"}]}