6 weeks ago
Marketing Data Scientist
Embedding VC
San Francisco, CA (Unknown)Full time
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Marketing Data Scientist
San Francisco, CA (Unknown)
Salary Not AvailableMid Level3+ years expFull time
Posted 6 weeks ago
Job Summary
Own weekly influencer marketing reviews, build and maintain real-time dashboards, close attribution gaps, run incrementality and holdout tests, and translate data insights into actionable recommendations for marketing leadership.
- Lead data storytelling and strategic recommendations for growth with a cross-functional team.
- Advance attribution instrumentation and measurement rigor across campaigns and creators.
Job Description
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.
Requirements
- 3–6 years of experience in data science, analytics, or marketing science. We'll 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 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 stron
- High ownership and comfort in ambiguity — you can figure out what needs doing and go do it.
Preferred
- 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).
Embedding VC
Embedding VC is an early-stage venture fund backing Generative AI startups. All our investors are current and former builders and operators. We believe in the mission to develop AGI, and we are at the onset of a new computing super cycle, fundamentally driven by AI innovations.
Marketing Team
Marketing Roles Posted (Last 30 Days)
2
Traffic Signals
Monthly Visitors
1.9K
Traffic Source Mix
Search
27.2%
Direct
53.2%
Referral
4.9%
Social
13.4%
Paid
1.2%
Headcount Trend
Current headcount: ~13
Links
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