{"id":1145328,"url":"https://alion.io/job/geico-staff-data-scientist-product","title":"Staff Data Scientist, Product","company":{"id":2667051,"name":"GEICO","domain":"geico.com","url":"https://alion.io/company/geico-3","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":36,"ghost_share":0,"stale_share":0.778,"repost_share":0.028,"time_to_fill_p50_days":27,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bethesda, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":115000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-14T00:00:00Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-10-22T10:47:22Z","board_verified":true,"closed_at":null,"days_open":40,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":40},"description":"Why Join GEICO?\nAt GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.\nEvery day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.\nFounded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.\nGEICO is looking for a Staff DataScientist, Product Analyticswho will provide quantitative rigor, behavioral insight, and a strategic perspective to partners across the organization. As a curious and decision-oriented member of the team, you serve as the analytical thought partner to product, engineering, and design leaders-using data, experimentation, and causal reasoning to help them make better decisions. You will frame the right questions, design the studies that answer them, and translate findings into recommendations that shape what we build. You'll make critical recommendations for Product, Engineering, and senior leadership.\nJob Responsibilities:\nStrategic Partnership: Embed with product, engineering, and design leaders as a decision partner-framing ambiguous business questions, pressure-testing roadmap assumptions, and shaping bets before they are committed.\nMetric Frameworks: Define goal metrics, guardrails, and supporting metric trees for your product area. Decompose top-line outcomes into measurable inputs that teams can move.\nExperimentation: Design, power, and analyze A/B and quasi-experiments. Go beyond average treatment effects to understand heterogeneity, long-term impact, novelty effects, and cross-surface interactions.\nCausal Inference: Apply causal methods (difference-in-differences, synthetic control, instrumental variables, propensity scoring, switchback designs) where randomization is not feasible.\nDecision Modeling: Build opportunity sizing, forecasting, and ROI models that scale how the organization makes trade-offs-pricing, growth, retention, and long-range investment decisions.\nDeep Dives: Lead root-cause investigations into user behavior, funnel performance, retention, and engagement. Translate messy signal into clear, defensible recommendations.\nCollaboration: Serve as trusted analyticspartner to PMs, designers, and engineers-translate product questions into research designs, analyses, and deliverables.\nCommunication: Present findings and recommendations to senior leadership with clarity, structure, and its uncertainty.\nMentorship & Best Practices: Mentor junior datascientists and analysts. Define internal standards for experiment design, statistical rigor, and reproducible analysis. Basic Qualifications:\nExperience: 8+ years in product analytics, decision science, datascience, or a closely related quantitative role at a technology company, with a track record of influencing product decisions.\nExperimentation: Strong background designing well-powered A/B tests, diagnosing bias and variance issues, handling interference and non-stationarity, and interpreting results under real-world conditions.\nStatistics & Causal Inference: Solid applied statistics foundation with practical experience selecting the right causal method for the question at hand.\nTools: Advanced SQL and working proficiency in Python or R for analysis, modeling, and reproducible workflows.\nProduct Sense: Demonstrated ability to define metric frameworks for a product area, not just operate within frameworks built by others.\nCommunication: Clear writing and direct storytelling with data-can produce a one-pager that moves a roadmap and present to executives without losing the nuance.\nQuality Mindset: Disciplined about quantifying what you know, surfacing what you don't, and resisting false precision.\nEducation: Bachelor's degree or higher in statistics, economics, computer science, mathematics, operations research, or a related quantitative field-or equivalent practical experience. Preferred Qualifications:\nAdvanced Methods: Bayesian methods, hierarchical models, sequential testing, or uplift modeling experience.\nDomain Experience: Background in growth, pricing, monetization, marketplace, or recommendation problem spaces.\nML Partnership: Experience working alongside ML engineers on production models, including offline evaluation, online metrics, and guardrails.\nPlatform Contributions: Contributions to internal experimentation platforms, metric stores, or measurement tooling.\nEducation: MS or PhD in a quantitative discipline.\nIndustry: Insurance or financial services experience.\nAnnual Salary\n$115,000.00 - $230,000.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.\nGEICO will consider sponsoring a new qualified applicant for employment authorization for this position.The GEICO Pledge:\nGreat Company: Protecting customers through life’s twists and turns with innovation and integrity.\nGreat Careers: Personalized development programs, mentorship, and certification assistance.\nGreat Culture: Inclusive and collaborative culture rooted in shared success.\nGreat Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.\nThe equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.\nGEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.","description_format":"text","description_chars":6986,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Property & Casualty Insurance"],"lifecycle":[{"event":"open","at":"2026-09-23T14:46:33Z"}],"visa":[],"liveness":{"score":23,"band":"cold","label":"Long shot","p_open":1,"p_active":0.529,"p_room":0.44,"age_days":40,"expected_fill_days":27,"reasons":["conf:43","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":{"stated_usd_annual":230000,"is_top_pay":true},"html_url":"https://alion.io/job/geico-staff-data-scientist-product","json_url":"https://alion.io/job/geico-staff-data-scientist-product.json","meta":{"generated_at":"2026-10-24T06:41:26Z","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":9790,"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":2667051},"rest":"https://alion.io/mcp/rest/get_company?id=2667051"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgeico-staff-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%2Fgeico-staff-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%2Fgeico-staff-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/geico-staff-data-scientist-product\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgeico-staff-data-scientist-product"}]}