{"id":439415,"url":"https://alion.io/job/samba-tv-data-scientist-3","title":"Data Scientist","company":{"id":171913,"name":"Samba TV","domain":"samba.tv","url":"https://alion.io/company/samba-tv","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":95,"open_postings":55,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":143,"computed_at":"2026-10-26T05:57:25Z"}},"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":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":185000,"currency":"USD","period":"year","gross":null,"usd_annual":185000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-04-13T23:24:14Z","employer_posted_date":"2026-04-13","last_verified_at":"2026-10-26T19:13:57Z","board_verified":true,"closed_at":null,"days_open":195,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":195},"description":"ABOUT THE ROLE\nWe are looking for a hands-on Data Scientist to own and deliver complex measurement science and modeling work at the core of our measurement and audience sciences products.\nThe role requires a deep, first-principles understanding of data science and machine learning - not just the ability to apply libraries, but the ability to reason clearly about model behavior, articulate trade-offs between approaches, and make defensible methodological decisions under ambiguity. This is emphatically a coding role - you will spend the majority of your time writing production-quality Python, building and evaluating models on large-scale viewership and web data, and delivering end-to-end ML solutions.\nYou will work closely with Data Engineering, Product, and go-to-market teams.\nWHAT YOU'LL DO\nWrite and own production-quality Python code end-to-end - well-structured, tested, documented, and built to last; PySpark proficiency is essential for working with Samba's billion-row viewership datasets\n\nDesign, build, and deploy measurement models and statistical frameworks that power Samba’s campaign measurement, reach/frequency estimation, and cross-platform attribution products\n\nApply the right statistical and ML technique to the right problem - drawing from hierarchical models, Bayesian inference, gradient boosting, regularized regression, causal ML, and probabilistic record linkage - and clearly articulate the reasoning behind your choices\n\nBuild and evaluate multi-touch and multi-channel attribution models; apply Causal ML methods - counterfactual modeling, meta-learners (S-learner, T-learner, X-learner), and heterogeneous treatment effect estimation - to advertising and viewership measurement problems\n\nPartner with Data Engineering to define data requirements, validate pipelines, and ensure model inputs are reliable, scalable, and production-ready\n\nLead technical design reviews and contribute meaningfully to architecture decisions across the Data Science team\n\nMentor junior Data Scientists through code review, pairing, and structured technical feedback - raising the team's technical floor\n\nCommunicate measurement methodologies and findings clearly to technical and non-technical audiences, including senior leadership and external clients\n\nWHO ARE YOU\n5-7 years of professional data science experience - hands-on, delivery-focused, and measurable in shipped models and production systems\n\nExpert-level Python - clean, modular, testable, production-ready code is your standard, not your aspiration\n\nAdvanced PySpark and Databricks - comfortable building and optimizing data pipelines and ML workflows on billion-row datasets\n\nDeep, first-principles command of statistics and ML - you can explain from the ground up how these models work and you apply this understanding to make better modeling decisions\n\nSolid grasp of experimental design - A/B testing, randomization, power analysis, and the conditions under which observational causal inference is appropriate\n\nFluent in the full ML lifecycle: feature engineering, model evaluation, deployment pipelines, drift monitoring, and iterative improvement in production\n\nHands-on experience with uplift modeling, synthetic control, difference-in-differences, or propensity-based approaches applied to advertising or media outcomes\n\nStrong ownership mindset - you drive projects independently and are comfortable owning your models from data exploration through production delivery, with minimal hand-holding.\n\nClear communicator - able to translate statistical reasoning and model behavior into language that drives decisions with product, engineering, and leadership\n\nExperience with multi-touch attribution (MTA) or multi-channel attribution modeling - understanding of the limitations of rule-based approaches and the methodological trade-offs of data-driven alternatives\n\nHands-on experience with Causal ML methods - counterfactual modeling, meta-learners, and heterogeneous treatment effect estimation - applied to advertising or media measurement outcomes\n\nDirect exposure to TV or digital viewership data - ACR signals, STB data, viewership panels, or cross-platform measurement (linear + CTV/OTT)\n\nFamiliarity with the measurement\n\nt vendor landscape (Nielsen, Comscore, VideoAmp, iSpot) and industry standards (MRC, GRP/TRP frameworks)\n\nAdvanced degree (MS or PhD) in Statistics, Mathematics, Computer Science, or a related quantitative field - or equivalent depth demonstrated through work","description_format":"text","description_chars":4477,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Media & Audience Measurement"],"lifecycle":[{"event":"open","at":"2026-09-06T07:20:12Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 3 · green card filings: 1","filings_12m":3,"filings_prev_12m":5,"green_card_filings_12m":1,"median_offered_wage_usd":183750,"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":0}],"liveness":{"score":33,"band":"fade","label":"Fading","p_open":1,"p_active":0.757,"p_room":0.44,"age_days":195,"expected_fill_days":143,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-10-26T05:57:25Z"},"pay":{"stated_usd_annual":185000,"is_top_pay":true},"html_url":"https://alion.io/job/samba-tv-data-scientist-3","json_url":"https://alion.io/job/samba-tv-data-scientist-3.json","meta":{"generated_at":"2026-10-26T23:05:58Z","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":31369,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"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":171913},"rest":"https://alion.io/mcp/rest/get_company?id=171913"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsamba-tv-data-scientist-3"},{"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%2Fsamba-tv-data-scientist-3"},{"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%2Fsamba-tv-data-scientist-3"},{"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/samba-tv-data-scientist-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsamba-tv-data-scientist-3"}]}