Marketing Data Scientist

What you'll do

• Own weekly influencer marketing reviews and build real-time dashboards for traffic, CAC, ROAS, payback, and campaign performance.
• Design and analyze incrementality, holdout, and A/B tests; conduct analyses to inform marketing spend decisions.
• Build and maintain marketing attribution, troubleshoot tracking gaps, and communicate actionable recommendations.

What they ask for

• 3–6 years of experience in data science, analytics, or marketing science.
• Strong SQL and Python skills, with the ability to work with data end-to-end.
• Meaningful experience supporting a marketing, growth, or lifecycle team.
• Strength in at least one measurement specialty: experimentation/incrementality, attribution, MMM, marketing analytics, or growth analytics.

Nice to have

• Experience measuring influencer, creator, or UGC marketing, or as an early/first data hire supporting a marketing organization.
• Familiarity with the listed analytics and advertising stack, consumer products, AI/ML, or privacy-era measurement.

Pay

$300K – $400K USD total pay (base salary range; offers equity and bonus, amounts unspecified)

Tools

BigQuery, SQL, Python, Amplitude, Metabase, Stripe, Google Ads, Meta Ads

AI focus

The role may support an AI-native creative platform; exposure to AI/ML products or generative AI is a nice-to-have, but specific AI work is not stated.