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OpenArt is an AI-native storytelling and visual creation platform used by millions globally, building next-generation creative tools powered by cutting-edge AI. The company has grown 7–10X in revenue over the past two years in the AI-native creative tools category.
You will be OpenArt's first dedicated Marketing Data Scientist, partnering with the Head of Data to build measurement, experimentation, and insights across the marketing organization—spanning performance marketing, influencer/UGC, and lifecycle/email programs.
KEY RESPONSIBILITIES
Marketing Measurement & Reviews: Own weekly reviews with the influencer marketing team, bringing data, analysis, and recommendations. Build and maintain real-time dashboards tracking influencer/UGC traffic spikes, CAC, ROAS, and payback across channels. Debug attribution gaps across ad platforms, warehouse, and CRM systems (Meta Attribution Gap, Impact Radius, Google Ads conversion tracking).
Experimentation & Insights: Design and run incrementality tests, holdout tests, and A/B tests across marketing programs. Partner on HDYHAU survey design and analysis to validate platform-reported CAC. Conduct deep-dive analyses informing spend decisions—creative reads, cohort/LTV analysis, channel efficiency, campaign post-mortems. Contribute to the marketing attribution build (channel/subchannel/partner taxonomy, attribution windows, priority chain, promo code handling, multi-model attribution). Work on per-creator influencer attribution instrumentation (unique codes, UTMs, landing pages).
Communication: Translate insights into crisp, opinionated recommendations for marketing leaders. Set the bar for experimentation rigor and measurement quality at OpenArt.
You'll inherit and extend work already in flight—the multi-model attribution build, Marketing Attribution Alignment with the marketing team, and live incrementality tests. You'll lead areas not yet well-covered, notably real-time influencer/UGC measurement, currently a top priority.
WORK ENVIRONMENT
High ownership, low process, fast iteration environment. Cross-functional collaboration with marketing, growth, product, data engineering, and finance. Opportunity to build from 0 → 1 on attribution models, channel taxonomy, and measurement stack. Bay Area hybrid preferred; visa sponsorship available; remote considered for exceptional candidates.
REQUIREMENTS
- 3–6 years of experience in data science, analytics, or marketing science
- Strong SQL and Python; comfortable working with data end-to-end independently
- Meaningful experience supporting a marketing, growth, or lifecycle team; understanding of how marketers think and what decisions they need data to make
- At least one measurement specialty executed well: experimentation/incrementality, attribution, MMM, marketing analytics, or growth analytics
- Strong product and business intuition; ability to assess dashboard insights and identify what's worth pursuing
- Excellent communication skills; ability to tell clear data stories to marketers, PMs, and CFOs
- High ownership and comfort with ambiguity; ability to identify and execute on what needs doing
NICE TO HAVE
- Experience measuring influencer/creator/UGC marketing
- Experience as an early or first data hire supporting a marketing organization
- Familiarity with 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)
