{"id":404199,"url":"https://alion.io/job/openart-marketing-data-scientist","title":"Marketing Data Scientist","company":{"id":176113,"name":"OpenArt","domain":"openart.ai","url":"https://alion.io/company/openart-2","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Carlos, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":300000,"max":400000,"currency":"USD","period":"year","gross":null,"usd_annual":400000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"GCP","optional":true},{"name":"GitHub","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Metabase","optional":true}],"status":"live","first_seen_at":"2026-08-19T23:07:04Z","employer_posted_date":"2026-09-27","last_verified_at":"2026-10-28T03:03:30Z","board_verified":true,"closed_at":null,"days_open":69,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":69},"description":"About OpenArt\nOpenArt is an AI Storytelling and Visual Creation Platform used by millions worldwide. We’re building the next generation of creative tools powered by cutting-edge AI, enabling anyone to create videos, visuals, characters, and stories with unprecedented speed and imagination. We believe the future of creativity is AI-native, and we’re shaping that future.\nWhy Join OpenArt\nRide an inflection point. OpenArt has grown 7-10X in revenue over the past 2 years in one of the hottest categories in tech (AI-native creative tools). You're joining while the trajectory is still steep and every measurement decision compounds.\n\nOwn the data science practice behind one of OpenArt's biggest growth levers - marketing spend across influencer, paid, and lifecycle.\n\nWork across marketing, growth, product, data engineering, and finance - one of the most cross-functional roles in the company.\n\nBuild from 0 → 1. The attribution model, channel taxonomy, and measurement stack are being laid down right now; you'll help finish the build and then run it.\n\nHigh ownership, low process, fast iteration environment.\n\nAbout the Role\nWe're looking for a Marketing Data Scientist to be our first dedicated marketing DS, partnering with our Head of Data to build measurement, experimentation, and insights for OpenArt's marketing org - across performance marketing, influencer/UGC, and lifecycle/email.\nYou don't need to be an expert in every corner of marketing science. What we care about is that you're strong in the fundamentals (SQL, Python, experimentation, at least one measurement specialty), have real product and business intuition, and are hungry to grow into the harder pieces - with a Head of Data who's done all of it available to teach you.\nYou'll inherit and extend work already in flight - our multi-model attribution build, the Marketing Attribution Alignment with the marketing team, and live incrementality tests (Google brand vs non-brand, Director email upsell holdout). You'll also lead areas we haven't been able to cover well yet, most notably real-time influencer/UGC measurement - currently a big gap and a top priority.\nWhat You’ll Do\nMarketing measurement & reviews (weekly rhythm)\nOwn the weekly review with the influencer marketing team - bring the data, the read, and the recommendation.\n\nBuild and maintain real-time dashboards for influencer/UGC traffic spikes, CAC / ROAS / payback across channels, and campaign-level performance.\n\nDebug attribution gaps across ad platforms, warehouse, and CRM (Meta Attribution Gap, Impact Radius, Google Ads conversion tracking are all live workstreams).\n\nExperimentation & insights\nDesign and run incrementality tests, holdout tests, and A/B tests across marketing programs (email, paid channels, influencer where feasible).\n\nPartner on HDYHAU survey design and analysis to correct platform-reported CAC.\n\nDo the deep-dive analyses that shape spend decisions - creative reads, cohort/LTV analysis, channel efficiency, campaign post-mortems.\n\nWork on the marketing attribution build - channel/subchannel/partner taxonomy, attribution windows, priority chain, promo code handling, multi-model attribution.\n\nContribute to per-creator influencer attribution instrumentation (unique codes / UTMs / landing pages).\n\nGrow into ownership of these areas over time as you build depth.\n\nCommunication\nTranslate insights into crisp, opinionated recommendations that marketing leaders actually use - written and verbal.\n\nSet the bar for experimentation rigor and marketing measurement quality at OpenArt.\n\nWhat We’re Looking For\nCore Requirements\n3-6 years of experience in data science, analytics, or marketing science. We'll flex level and title based on candidate strength.\n\nStrong SQL and Python - comfortable working with data end-to-end without hand-holding.\n\nMeaningful experience supporting a marketing, growth, or lifecycle team - you understand how marketers think and what decisions they need data to make.\n\nAt least one measurement specialty done well: experimentation/incrementality, attribution, MMM, marketing analytics, or growth analytics. You don't need all of them - you need one that you're actually good at.\n\nStrong product/business intuition - you can look at a dashboard and know what's worth chasing.\n\nExcellent communication - you can tell a clear data story to a marketer, a PM, or a CFO, and hold your own in a room with strong opinions.\n\nHigh ownership and comfort in ambiguity - you can figure out what needs doing and go do it.\n\nWhat You'll Grow Into\nWe don't expect you to walk in with all of the below - but if you find these interesting and want to build depth here, this role is a great place to do it:\nFull-stack marketing attribution architecture (taxonomy, windows, multi-model, priority logic)\n\nMMM (build, buy, or vendor-partner)\n\nInstrumentation and UTM/tracking design at platform level\n\nCross-channel spend strategy and marketing direction\n\nNice to Have\nExperience measuring influencer/creator/UGC marketing\n\nExperience as an early or first data hire supporting a marketing org.\n\nFamiliarity with our stack: BigQuery, Amplitude, Metabase, Stripe, Google/Meta/TikTok/Bing/Reddit Ads, GTM, Impact, Tolt.\n\nExperience in consumer product, marketplaces, creator platforms, or e-commerce.\n\nExposure to AI/ML products or generative AI.\n\nFamiliarity with privacy-era measurement (Consent Mode, SKAN/ATT, Privacy Sandbox).\n\nTech Stack You’ll Work With\nBigQuery, SQL, Python, Amplitude, Metabase, Stripe, Google Ads, Meta Ads, TikTok Ads, Bing Ads, Reddit Ads, Linkedin Ads, GTM, Impact, Tolt, GCP\nCompensation\nCompetitive base salary and bonus program\n\nEquity - meaningful ownership in what you build\n\nHigh autonomy, high growth environment\n\nWork Setup\nBay Area preferred (hybrid allowed)\n\nVisa sponsorship available\n\nWe’ll consider remote for exceptional candidates\n\nHow to Apply\nSend your resume and a short note (links to GitHub/portfolio welcome) to .\nSubject line: Application - Marketing Data Scientist - \nOptionally include:\nA marketing measurement, experimentation, or attribution problem you're proud of solving\n\nAn example of a recommendation you made that changed how a marketing team spent budget\n\nYour earliest start date and location/time zone","description_format":"text","description_chars":6261,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Generative Image","Generative Video"],"lifecycle":[{"event":"open","at":"2026-09-06T01:06:11Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 6","filings_12m":6,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":142500,"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)"],"filings_for_role_12m":0}],"liveness":{"score":26,"band":"fade","label":"Fading","p_open":1,"p_active":0.719,"p_room":0.36,"age_days":68,"expected_fill_days":41,"reasons":["conf:1","velocity","win:tail","crowd:"],"computed_at":"2026-10-27T05:46:45Z"},"pay":{"stated_usd_annual":400000,"is_top_pay":true},"html_url":"https://alion.io/job/openart-marketing-data-scientist","json_url":"https://alion.io/job/openart-marketing-data-scientist.json","meta":{"generated_at":"2026-10-28T03:43:34Z","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":4828,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"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":176113},"rest":"https://alion.io/mcp/rest/get_company?id=176113"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fopenart-marketing-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%2Fopenart-marketing-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%2Fopenart-marketing-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/openart-marketing-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fopenart-marketing-data-scientist"}]}