Marketing Data Scientist

Embedding VC•San Francisco, CA

2d•Hybrid

About The Position

OpenArt is seeking a Marketing Data Scientist to be their first dedicated marketing DS. This role will partner with the Head of Data to build measurement, experimentation, and insights for OpenArt's marketing organization, covering performance marketing, influencer/UGC, and lifecycle/email. The ideal candidate will have strong fundamentals in SQL, Python, experimentation, and at least one measurement specialty, along with product and business intuition. The role involves inheriting and extending existing work such as the multi-model attribution build and incrementality tests, and leading new areas like real-time influencer/UGC measurement.

Requirements

3–6 years of experience in data science, analytics, or marketing science.
Strong SQL and Python skills, comfortable working with data end-to-end.
Meaningful experience supporting a marketing, growth, or lifecycle team.
At least one measurement specialty done well: experimentation/incrementality, attribution, MMM, marketing analytics, or growth analytics.
Strong product/business intuition.
Excellent communication skills, able to tell a clear data story to various stakeholders.
High ownership and comfort in ambiguity.

Nice To Haves

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).

Responsibilities

Own the weekly review with the influencer marketing team, providing data, analysis, and recommendations.
Build and maintain real-time dashboards for influencer/UGC traffic, CAC/ROAS/payback across channels, and campaign performance.
Debug attribution gaps across ad platforms, warehouse, and CRM.
Design and run incrementality tests, holdout tests, and A/B tests across marketing programs.
Partner on survey design and analysis to correct platform-reported CAC.
Conduct deep-dive analyses to inform spend decisions, including creative reads, cohort/LTV analysis, channel efficiency, and campaign post-mortems.
Work on the marketing attribution build, including channel/subchannel/partner taxonomy, attribution windows, priority chain, promo code handling, and multi-model attribution.
Contribute to per-creator influencer attribution instrumentation (unique codes/UTMs/landing pages).
Translate insights into clear, actionable recommendations for marketing leaders.
Set the standard for experimentation rigor and marketing measurement quality.