# Marketing Data Scientist - Company: [Openart]() - Location: San Carlos, CA - Remote: Yes - Team: Data Team - Employment type: Full Time - Salary: $150K – $180K - Posted: August 19, 2026 ## Job description **🎨 About OpenArt** OpenArt 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. **πŸš€ Why Join OpenArt** * **Ride 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. * **Own the data science practice behind one of OpenArt's biggest growth levers** β€” marketing spend across influencer, paid, and lifecycle. * Work across marketing, growth, product, data engineering, and finance β€” one of the most cross-functional roles in the company. * **Build from 0 β†’ 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. * High ownership, low process, fast iteration environment. **🎯 About the Role** We'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 β€” across performance marketing, influencer/UGC, and lifecycle/email. You 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** β€” with a Head of Data who's done all of it available to teach you. You'll inherit and extend work already in flight β€” 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 β€” currently a big gap and a top priority. **πŸ›  What You’ll Do** ### Marketing measurement & reviews (weekly rhythm) * Own the weekly review with the influencer marketing team β€” bring the data, the read, and the recommendation. * Build and maintain **real-time dashboards** for influencer/UGC traffic spikes, CAC / ROAS / payback across channels, and campaign-level performance. * Debug attribution gaps across ad platforms, warehouse, and CRM (Meta Attribution Gap, Impact Radius, Google Ads conversion tracking are all live workstreams). ### Experimentation & insights * Design and run **incrementality tests, holdout tests, and A/B tests** across marketing programs (email, paid channels, influencer where feasible). * Partner on HDYHAU survey design and analysis to correct platform-reported CAC. * Do the deep-dive analyses that shape spend decisions β€” creative reads, cohort/LTV analysis, channel efficiency, campaign post-mortems. * Work on the marketing attribution build β€” channel/subchannel/partner taxonomy, attribution windows, priority chain, promo code handling, multi-model attribution. * Contribute to per-creator influencer attribution instrumentation (unique codes / UTMs / landing pages). * Grow into ownership of these areas over time as you build depth. ### Communication * Translate insights into crisp, opinionated recommendations that marketing leaders actually use β€” written and verbal. * Set the bar for experimentation rigor and marketing measurement quality at OpenArt. **πŸ§‘β€πŸ’» What We’re Looking For** ### Core Requirements * **3–6 years** of experience in data science, analytics, or marketing science. We'll flex level and title based on candidate strength. * **Strong SQL and Python** β€” comfortable working with data end-to-end without hand-holding. * **Meaningful experience supporting a marketing, growth, or lifecycle team** β€” you understand how marketers think and what decisions they need data to make. * **At least one measurement specialty done well**: experimentation/incrementality, attribution, MMM, marketing analytics, or growth analytics. You don't need all of them β€” you need one that you're actually good at. * **Strong product/business intuition** β€” you can look at a dashboard and know what's worth chasing. * **Excellent communication** β€” 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. * **High ownership and comfort in ambiguity** β€” you can figure out what needs doing and go do it. What You'll Grow Into We don't expect you to walk in with all of the below β€” but if you find these interesting and want to build depth here, this role is a great place to do it: * Full-stack marketing attribution architecture (taxonomy, windows, multi-model, priority logic) * MMM (build, buy, or vendor-partner) * Instrumentation and UTM/tracking design at platform level * Cross-channel spend strategy and marketing direction ### Nice to Have * Experience measuring **influencer/creator/UGC marketing** * Experience as an early or first data hire supporting a marketing org. * Familiarity with our stack: BigQuery, Amplitude, Metabase, Stripe, Google/Meta/TikTok/Bing/Reddit Ads, GTM, Impact, Tolt. * Experience in consumer product, marketplaces, creator platforms, or e-commerce. * Exposure to AI/ML products or generative AI. * Familiarity with privacy-era measurement (Consent Mode, SKAN/ATT, Privacy Sandbox). **βš™ Tech Stack You’ll Work With** BigQuery, SQL, Python, Amplitude, Metabase, Stripe, Google Ads, Meta Ads, TikTok Ads, Bing Ads, Reddit Ads, Linkedin Ads, GTM, Impact, Tolt, GCP **πŸ’° Compensation** * Competitive base salary and bonus program * Equity β€” meaningful ownership in what you build * High autonomy, high growth environment **🌍 Work Setup** * Bay Area preferred (hybrid allowed) * Visa sponsorship available * We’ll consider remote for exceptional candidates **βœ‰οΈ How to Apply** Send your resume and a short note (links to GitHub/portfolio welcome) to [careers@openart.ai](mailto:careers@openart.ai). Subject line: Application – Marketing Data Scientist – Optionally include: * A marketing measurement, experimentation, or attribution problem you're proud of solving * An example of a recommendation you made that changed how a marketing team spent budget * Your earliest start date and location/time zone ## Apply [Apply on Openart]() Canonical job page: