Marketing Data Scientist

Jobright.ai · San Carlos, CA · 1 wk ago

HybridMarketing$150k–$180k/yrFull-time

About the role

This role is part of the Jobright TNT — the private hiring network connecting top talent with top AI startups like Perplexity, Mercor, Cresta, Suno and 150 more. Only select, high-signal candidates are invited to Jobright TNT and recommended directly to hiring teams.

Hiring Company: OpenArt AI, Inc.

One-liner: OpenArt is a leading AI image generation platform trusted by over 1M+ creators, empowering the next wave of visual creativity.

Salary: $150K/yr – $180K/yr

Why Join Us

One of the fastest growing AI startups in visual storytelling with 7M+ monthly users
$70M ARR powered by a 20 person team
Close collaboration with OpenAI and Google on frontier multimodal models
Founder-led engineering culture. High ownership, low process; we value judgment, clarity, and speed over bureaucracy

Responsibilities

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

Qualifications

3–6 years of experience in data science, analytics, or marketing science
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 don't need all of them — you need one that you're actually good at
Strong product/business intuition — you can look at a dashboard and know what's 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
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)

Preferred