Note: The job is a remote job and is open to candidates in USA. Triple Whale provides an AI operating system for modern ecommerce, combining business data, measurement, and automation to help brands grow profit. The Marketing Scientist will support measurement strategies for a portfolio of large omnichannel brands by executing analyses, interpreting marketing measurement outputs, and translating findings into actionable decisions and product feedback.
Responsibilities
- Own the full measurement journey for a portfolio of 8–9 figure brands, from kickoff and test design through results interpretation and next-step recommendations
- Build and translate MMMs, incrementality tests, and attribution outputs into clear decisions around channel mix, budget allocation, and growth strategy
- Design and sequence measurement strategies based on each brand’s media mix, investment levels, business goals, and highest-priority questions
- Make complex measurement findings actionable for non-technical stakeholders, including confidence levels, null results, halo effects, and cross-channel implications
- Bring strong working knowledge across Meta, Google, TikTok, YouTube, CTV, OOH, Linear TV, Retail, AppLovin, and other key channels
- Help brands understand where platform-reported performance differs from true incremental business impact, including across complex omnichannel businesses with Wholesale, Retail, and Amazon
- Reframe channel-level questions into broader strategic decisions around incrementality, customer acquisition, and budget allocation
- Join high-value prospect conversations as a measurement subject matter expert, bringing operator credibility and translating Triple Whale’s capabilities into each brand’s operational reality
- Identify recurring customer challenges and translate them into actionable feedback for Product, distinguishing true product gaps from education or operator-context gaps
- Bring real-world customer context into product decisions, including the organizational complexity brands face when acting on measurement insight
Skills
- Real operator experience at scale: You've been accountable for marketing performance, not as an agency buyer or advisor, but as someone with skin in the game at a brand doing meaningful revenue
- You've made budget calls with imperfect data, defended channel spend to a CFO, and felt the organizational complexity that makes good measurement advice hard to act on
- Measurement literacy: You understand the difference between last-click, MTA, MMM, and incrementality testing, and which one answers which question
- You can explain test confidence, null results, and attribution gaps in plain language
- You understand how to triangulate all three measures to arrive at recommendations
- Paid media and channel expertise: 5+ years running or closely overseeing paid media across Meta, Google, TikTok, or similar platforms at meaningful scale
- You understand platform mechanics, attribution windows, and reporting gaps, and you have formed articulable opinions about how each platform works and what it systematically gets wrong
- Omnichannel fluency: You understand what it means to run marketing across DTC, Amazon, wholesale, and retail simultaneously, and why the attribution problems that creates are genuinely hard
- You don't assume digital-only measurement frameworks apply cleanly to brands with offline complexity
- Executive-level communication: You can run a high-stakes call with a CFO, CMO, and media buyer all in the room, adjusting depth and framing for each without losing any of them
- You can deliver hard news (a null result, a recommendation that contradicts their instincts) without losing the relationship
- Experience evaluating or acting on incrementality test results (GeoLift, holdout, synthetic control) in a context where the findings informed a real budget decision
- Comfort operating where the playbook is being built before and attuned alongside the delivery
Company Overview
Company H1B Sponsorship