{"id":1928349,"url":"https://alion.io/job/intuit-staff-data-scientist-engagement-2","title":"Staff Data Scientist - Engagement","company":{"id":16628,"name":"Intuit","domain":"intuit.com","url":"https://alion.io/company/intuit","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Radancy","truth_index":{"grade":"B","score":78,"open_postings":65,"ghost_share":0,"stale_share":0.862,"repost_share":0.015,"time_to_fill_p50_days":37,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Oakland, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":194000,"max":262500,"currency":"USD","period":"year","gross":null,"usd_annual":262500},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-10-05T20:58:32Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-24T19:44:12Z","board_verified":true,"closed_at":null,"days_open":19,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":19},"description":"Intuit's Consumer Group is committed to building tools and services that improve our members' financial journeys. At the heart of this mission, the Credit Karma Engagement team builds in-product features and experiences that help members take meaningful action to improve their financial outcomes, from building credit, to saving money, to paying down debt.\nThe team is seeking a Staff Data Scientist to serve as an analytical partner to our Connected Accounts product team, responsible for using data to improve the member experience around linking, managing, and getting value from connected financial accounts. This is a high-impact role where you will bring scientific rigor to product decisions, partner closely with Product and Engineering, and help shape how we measure and grow the value members get from connecting their accounts.\nResponsibilities\nDrive analytics strategy for Connected Accounts: Own the analytics agenda for the Connected Accounts product area, mapping the member journey end to end, from account linking and verification through ongoing engagement and value delivery, to identify the highest-leverage opportunities.\nPartner with product leadership: Combine data insights with business acumen to partner with Product, Engineering, and Design leaders in shaping roadmap and prioritization decisions.\nApply advanced analytical methods: Apply ML and causal inference techniques to connected accounts-specific problems such as link conversion, drop-off, and engagement with account-based features, adapting existing frameworks or building new ones as needed.\nDesign and run experiments: Design and execute experiments (A/B/n, and quasi-experimental designs where testing is constrained) to evaluate changes to the member experience and quantify their impact on member and business outcomes.\nBuild member segmentation: Analyze member behavior within Connected Accounts to build segmentation that improves targeting, personalization, and feature relevance.\nContribute to the AI-native roadmap: Partner with the team to identify opportunities to apply AI/ML within the connected accounts experience, help design measurement plans, and connect model performance to member and business outcomes.\nMentor and support the team: Mentor other data scientists on best practices and experimentation rigor, and contribute to hiring and calibration as needed.\nQualifications\nWe're looking for a curious, proactive data scientist with a passion for driving member engagement and retention.\n6+ years of experience in data science and analytics, with a track record of driving impact within a product area or initiative; experience with account aggregation, fintech data connectivity, or personal financial management products strongly preferred, fintech experience a plus.\nAbility to translate ambiguous product questions into structured analyses and actionable recommendations.\nExperience designing and interpreting experiments, with working knowledge of causal inference techniques for use when experimentation is constrained.\nSolid understanding of customer segmentation and experimentation design, with the judgment to balance statistical rigor and business considerations.\nExposure to lightweight Machine Learning in terms of being able to build offline classification & regression models to inform business decisions.\nExperience contributing to reusable analytical frameworks, methodologies, or tools used by others on the team.\nStrong communication and stakeholder-influence skills, with the ability to work effectively with Director-level partners across business and technical teams.\nAbility to navigate ambiguity, make fast data-driven decisions, and operate effectively in a fast-paced, dynamic environment.\nAbility to use AI-native tools to plan, implement, and synthesize analyses across use cases ranging from experiment readouts to retention/churn deep dives.\nBS or MS in Statistics, Mathematics, Operations Research, Computer Science, Engineering, Econometrics, or a related field.\nIntuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.\n The expected base pay range for this position is:Oakland $194,000 - $262,500","description_format":"text","description_chars":4616,"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":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Personal Finance Apps & Education","Accounting & Tax Software","Tax Advisory & Preparation"],"lifecycle":[{"event":"open","at":"2026-10-05T20:58:32Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 719 · green card filings: 199","filings_12m":719,"filings_prev_12m":718,"green_card_filings_12m":199,"median_offered_wage_usd":177081,"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":71}],"liveness":{"score":56,"band":"ok","label":"Likely open","p_open":1,"p_active":0.626,"p_room":0.9,"age_days":18,"expected_fill_days":37,"reasons":["conf:2","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":{"stated_usd_annual":262500,"is_top_pay":true},"html_url":"https://alion.io/job/intuit-staff-data-scientist-engagement-2","json_url":"https://alion.io/job/intuit-staff-data-scientist-engagement-2.json","meta":{"generated_at":"2026-10-24T21:47:19Z","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":31987,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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":16628},"rest":"https://alion.io/mcp/rest/get_company?id=16628"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fintuit-staff-data-scientist-engagement-2"},{"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%2Fintuit-staff-data-scientist-engagement-2"},{"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%2Fintuit-staff-data-scientist-engagement-2"},{"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/intuit-staff-data-scientist-engagement-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fintuit-staff-data-scientist-engagement-2"}]}