Marketing Data Scientist

About OpenArt

OpenArt is an AI Storytelling and Visual Creation Platform used by millions worldwide. Were 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 were shaping that future.

Why Join OpenArt

• Ride an inflection point. OpenArt has grown 710X in revenue over the past 2 years in one of the hottest categories in tech (AI-native creative tools). Youre joining while the trajectory is still steep and every measurement decision compounds.

• Own the data science practice behind one of OpenArts biggest growth levers marketing spend across influencer paid and lifecycle.

• Work across marketing growth product data engineering and finance one of the most cross-functional roles in the company.

• Build from 0 1. The attribution model channel taxonomy and measurement stack are being laid down right now; youll help finish the build and then run it.

• High ownership low process fast iteration environment.

About the Role

Were 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 OpenArts marketing org across performance marketing influencer/UGC and lifecycle/email.

You dont need to be an expert in every corner of marketing science. What we care about is that youre 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 whos done all of it available to teach you.

Youll 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). Youll also lead areas we havent been able to cover well yet most notably real-time influencer/UGC measurement currently a big gap and a top priority.

What Youll Do

• Own the weekly review with the influencer marketing team 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).

• 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 creative reads cohort/LTV analysis channel efficiency campaign post-mortems.

• Work on the marketing attribution build 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.

• Translate insights into crisp opinionated recommendations that marketing leaders actually use written and verbal.

• Set the bar for experimentation rigor and marketing measurement quality at OpenArt.

What Were Looking For

• 36 years of experience in data science analytics or marketing science. Well flex level and title based on candidate strength.

• Strong SQL and Python comfortable working with data end-to-end without hand-holding.

• Meaningful experience supporting a marketing growth or lifecycle team 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 dont need all of them you need one that youre actually good at.

• Strong product/business intuition you can look at a dashboard and know whats worth chasing.

• Excellent 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.

• High ownership and comfort in ambiguity you can figure out what needs doing and go do it.

What Youll Grow Into

We dont 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:

• 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

• 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).

Tech Stack Youll Work With

BigQuery SQL Python Amplitude Metabase Stripe Google Ads Meta Ads TikTok Ads Bing Ads Reddit Ads Linkedin Ads GTM Impact Tolt GCP

Compensation

• Competitive base salary and bonus program

• Equity meaningful ownership in what you build

• High autonomy high growth environment

Work Setup

• Bay Area preferred (hybrid allowed)

• Visa sponsorship available

• Well consider remote for exceptional candidates

How to Apply

Send your resume and a short note (links to GitHub/portfolio welcome) to .

Subject line: Application Marketing Data Scientist

Optionally include:

• A marketing measurement experimentation or attribution problem youre 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

Required Experience:

IC