{"id":3713501,"url":"https://alion.io/job/ethos-staff-data-scientist","title":"Staff Data Scientist","company":{"id":6048,"name":"Ethos","domain":"ethos.com","url":"https://alion.io/company/ethos","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":78,"open_postings":16,"ghost_share":0,"stale_share":0.875,"repost_share":0,"time_to_fill_p50_days":55,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":127000,"max":224000,"currency":"USD","period":"year","gross":null,"usd_annual":224000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"Feature Store","optional":false},{"name":"LightGBM","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-11-03T21:49:56Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-07T08:11:20Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About Ethos\nEthos (Nasdaq: $LIFE) is a leading life insurance technology company on a mission to protect families by democratizing access to life insurance and empowering agents at scale. With its robust three-sided technology platform, Ethos is transforming the life insurance experience for consumers, agents, and carriers alike. Ethos offers instant, accessible products and a seamless online process that requires no medical exams and just a few health questions; it eliminates traditional barriers, making it easier than ever for everyone to protect their families. Ethos is redefining how life insurance is bought, sold, and underwritten.\nAbout the role\nWe're looking for a Staff Data Scientist to own the product modeling roadmap and contribute to marketing measurement. You'll design, build, and deploy production ML models, partnering closely with PMs to scope and prioritize. The right candidate defines what to model before anyone asks, stress-tests their own assumptions, and communicates uncertainty in terms stakeholders can act on.\nDuties and Responsibilities:\nOwn the end-to-end lifecycle of ML models powering product experiences, coverage recommenders, user-to-channel routing, and agent assignment logic\nEngineer features, prototype experiments, and ship iterative model improvements to production\nWork with engineering and PMs to define how model scores are consumed in real-time product surfaces\nQualifications and Skills:\n5+ years in data science or ML at established firms or high-growth tech\nStrong command of supervised learning and recommendation systems; you've shipped production models, not just notebooks\nProficiency in Python (pymc, scikit-learn, XGBoost/LightGBM) and SQL\nHands-on Bayesian experience: prior elicitation, posterior inference, and experiment design\nExperience deploying production models integrated with consumer-facing products\nStrong communication skills; able to translate model behavior and uncertainty into stakeholder recommendations\nBias toward ownership; you identify what needs to be built before anyone files a ticket\nRecommender systems or personalization at scale\nCausal inference: diff-in-diff, uplift modeling, instrumental variables\nMarketing mix modeling, media attribution, or incrementality measurement\nExperience in insurtech, fintech, or other regulated industries\ndbt or data pipeline experience\nMLflow, feature stores, or other ML infrastructure tooling\nGets in the weeds without losing the bigger picture\nKnows the tradeoffs between simple heuristics and ML solutions and picks the right tool for the job\nAligns model performance metrics to business objectives and combines multiple models into a coherent solution\nRaises the team's data science bar through code review, documentation, and mentorship\n\n#LI-Remote #LI-TL1\n\nThe US national base salary range for this full-time position is $127,000 - $224,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. \nPlease note that the compensation details listed in US role postings reflect the base salary only and do not include applicable bonus, equity, or benefits. \nYou can find further details of our US benefits at https://www.ethoslife.com/careers/\nDon’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace.\nWe are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records.\nTo learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice.\nRecruitment Notice: Please be aware of recruitment scams. All legitimate communication from our team will only come from email addresses ending in @ethos.com or @getethos.com.\n We will never ask for payment, banking details, or sensitive personal information during the hiring process. If you are contacted by someone claiming to represent us from a different email address, please treat it as fraudulent.","description_format":"text","description_chars":4652,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Life insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Life Insurance & Annuities","InsurTech"],"lifecycle":[{"event":"open","at":"2026-11-04T00:06:31Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 3","filings_12m":3,"filings_prev_12m":9,"green_card_filings_12m":0,"median_offered_wage_usd":137500,"route":null,"cap_exempt":false,"checked_at":"2026-11-07T07:57:00+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":0}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":55,"reasons":["conf:1","stale_co","velocity","win:early"],"computed_at":"2026-11-07T05:47:08Z"},"pay":{"stated_usd_annual":224000,"is_top_pay":true},"html_url":"https://alion.io/job/ethos-staff-data-scientist","json_url":"https://alion.io/job/ethos-staff-data-scientist.json","meta":{"generated_at":"2026-11-07T09:54:02Z","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":8271,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"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":6048},"rest":"https://alion.io/mcp/rest/get_company?id=6048"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fethos-staff-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%2Fethos-staff-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%2Fethos-staff-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/ethos-staff-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fethos-staff-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3713501}},{"tool":"search_jobs","arguments":{"company":"ethos.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3713501},"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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