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 — 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; you'll help finish the build and then run it.

High ownership, low process, fast iteration environment.

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.

Marketing Data Scientist

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Embedding VC

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