{"id":3545390,"url":"https://alion.io/job/collective-senior-product-data-scientist","title":"Senior Product Data Scientist","company":{"id":171769,"name":"Collective","domain":"collective.com","url":"https://alion.io/company/collective-3","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":88,"open_postings":4,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":55,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","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":180000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Claude","optional":false},{"name":"dbt","optional":false},{"name":"Fivetran","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Metabase","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Claude Code","optional":true},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-10-30T18:17:17Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-03T23:58:04Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About Collective:\nCollective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork.\nFeatured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures, QED Investors, Google’s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft.\nAbout the role:\nWe’re hiring a Senior Product Data Scientist to build and evolve the core product experiences that power Collective’s member platform. You’ll be the analytical voice in product strategy, working with product, engineering, Operations, Finance, and Go-to-Market to turn member behavior across incorporation, bookkeeping, tax, and payroll into clear insights that shape the roadmap. You’ll own the metrics and analysis behind key decisions end to end, from defining what we measure to making sure the underlying data holds up. This role directly shapes how we help self-employed members save time and money, and how we grow and retain them.\nThis is a hands-on role for someone who cares about data quality, takes ownership of production systems end-to-end, and wants their work to be the foundation the rest of the company builds on.\nWhat you'll do:\nDrive product strategy with stakeholders. Work closely with product leads, engineering, Operations, Finance, and Go-to-Market. Share product insights regularly, shape the roadmap, and push back with evidence when the data says something different.\n\nLead product analytics. Approach problems from first principles and turn large, messy datasets into clear analysis and visuals that get to the \"so what\" and drive product insights across incorporation, bookkeeping, tax, and payroll.\n\nUse data science to uncover member behavior. Apply statistical and modeling techniques such as segmentation, cohort, retention, and churn analysis to understand what members do, why they do it, and what it means for the product.\n\nFind and size growth. Identify opportunities to grow membership and retention, size them, and help product leads prioritize what to build for the biggest long-term impact.\n\nOwn the metrics. Define, build, monitor, and report on the metrics behind product strategy and key initiatives, with one tested definition for each.\n\nBuild the data you analyze. Take raw sources (our product database, payments, support, and third-party tools) through Fivetran and dbt in BigQuery into clean, tested, documented datasets that the whole company can use. Fix problems at the source, not downstream.\n\nKeep it trustworthy. Add tests, monitoring, and lineage so a number can be checked in minutes rather than believed on faith.\n\nMake the data agent-ready. Maintain the definitions, semantic layer, and documentation that let Claude and our internal data agents answer questions correctly for anyone making a decision.\n\nWork with urgency and judgment. Pick up ambiguous, open-ended questions with minimal direction, and deliver with attention to detail.\n\nWhat you'll bring:\nExperience: 6+ years in data science, product analytics, analytics engineering, or data engineering, ideally at a B2B SaaS or fintech company. A bachelor's degree in mathematics, statistics, or a technical field, or equivalent practical experience.\n\nAn owner's mindset: you are curious, keep asking \"why\" until you reach the bottom of a problem, and take initiative without waiting for a ticket. You take ambiguous, high-impact questions and see them through to a decision.\n\nRange across both sides: you may be stronger in one, but you can do real work in the other. You can run an experiment analysis on Monday and fix a broken pipeline or model on Tuesday.\n\nSQL and Python (or R): expert SQL and strong scripting for analysis, statistics, and tooling.\n\nData engineering you have done yourself: you have taken messy raw sources to trusted, tested datasets that other teams rely on, using a modern stack such as BigQuery, dbt, and Fivetran or similar. You know what good data looks like.\n\nExperimentation: you design and interpret A/B and multivariate tests, understand power and guardrails, and build frameworks that turn results into launch decisions. Experience with Statsig, LaunchDarkly, or similar.\n\nProduct analytics: hands-on with Amplitude, Segment, Metabase, or similar. You turn complex datasets into actionable insights, and you can run exploratory analysis with minimal direction.\n\nProduct sense: you think through the detailed elements of a product experience and bring creative ideas for growth.\n\nCommunication: you tell clear, compelling stories with data and explain trade-offs to product leads and cross-functional partners.\n\nNice to have:\nExperience in a fast-paced, high-growth environment\n\nExposure to financial, accounting, tax, or payroll data and the correctness bar that comes with it\n\nExperience building semantic layers or metric stores that LLM-based tools query, or running LLM evaluations\n\nAI-assisted development experience (Claude Code or similar)\n\nPrior consulting or investment banking experience\n\nReforge or similar growth and product certifications\n\nWhat we offer:\nHybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility.\n\nFresh Lunch: Provided on in-office days.\n\nCommuter Support: $150 monthly reimbursement for transit expenses.\n\nHealth & Wellness: $200 quarterly reimbursement to support your well-being.\n\nTime Off: Flexible PTO plus 14 company holidays.\n\nComprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents.\n\nParental Leave: 16 weeks fully paid.\n\nRetirement & Ownership: 401k plan plus an equity package.\n\nTeam Connection: Quarterly virtual events and an annual in-person summit.","description_format":"text","description_chars":6147,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Hybrid work","Parental leave","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Accounting & Bookkeeping Services"],"lifecycle":[{"event":"open","at":"2026-10-30T20:36:49Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":3,"expected_fill_days":55,"reasons":["conf:2","win:early"],"computed_at":"2026-11-03T05:54:40Z"},"pay":{"stated_usd_annual":230000,"is_top_pay":true},"html_url":"https://alion.io/job/collective-senior-product-data-scientist","json_url":"https://alion.io/job/collective-senior-product-data-scientist.json","meta":{"generated_at":"2026-11-04T03:10:34Z","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":4901,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"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":171769},"rest":"https://alion.io/mcp/rest/get_company?id=171769"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcollective-senior-product-data-scientist"},{"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%2Fcollective-senior-product-data-scientist"},{"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%2Fcollective-senior-product-data-scientist"},{"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/collective-senior-product-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcollective-senior-product-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3545390}},{"tool":"search_jobs","arguments":{"company":"collective.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3545390},"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); 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