Marketing Science Analyst

What Do We Do? Triple Whale is the AI operating system built for modern ecommmerce. We help you see what's actually working in your business, what's not, and what to do next. Then we take action for you — pausing the underperforming ad, generating the next batch of creative, flagging the inventory risk before it bites. We pull every signal in your business into one place, and put it on the most trusted measurement foundation in the industry. And on top of that, we give you the most actionable AI in commerce — Moby 2 — letting you tap any LLM you want, grounded in the full context of your business. Moby 2 doesn't just surface insights, it executes decisions for you, with automations that make the rest of your stack smarter. The result: more than 60,000 brands like Pressed Juicery, OUAI, and True Classic turn mountains of complex data into actions that actually grow profit, at a speed and scale that is not humanly possible. What You're Applying for As a Marketing Science Analyst on Triple Whale's Marketing Science team, you'll be a key operator within the Compass and Unified Measurement experience. This is a hands-on individual contributor role—you’ll dive deep into the data, build and execute analyses, and help translate measurement outputs into decisions that brands can act on. This role exists because brands at scale ($50M–$500M+ revenue, complex omnichannel operations) don’t just need data—they need support turning measurement into decisions that hold up in the real world. Reporting into our Marketing Science Lead, you’ll partner closely with a Marketing Data Scientist, who owns model configuration and statistical rigor for MMM and incrementality testing. Your focus will be supporting operator translation, analysis execution, and helping shape the measurement roadmap for each customer. You’ll help deliver measurement strategy for a portfolio of Compass brands, from test design and MMM interpretation to attribution analysis and ongoing recommendations. You may also support select prospect conversations as a technical and analytical resource. Sitting within Marketing Science, you’ll work cross-functionally with Product, Data Science, and CSM—helping bridge the gap between customer complexity and Triple Whale’s solutions. What You’ll Do Lead measurement strategy for Compass brands Own the full measurement conversation arc, from kickoff and test design through results interpretation and what-comes-next recommendations, for a portfolio of 8–9 figure brands Translate MMM, incrementality, and attribution model outputs into operator-native decisions: not "here's what the model says," but "here's what it means for your channel mix and your next budget call" Sequence tests intelligently across channels based on the brand's spend levels, organizational capacity, and the questions that actually matter to their business right now Interpret results for non-technical stakeholders: explain what a null result means, what 80% confidence does and doesn't authorize, and how an Amazon halo effect finding changes cross-channel thinking Help brands build a measurement roadmap over time, not just run one-off tests Be the channel expert in the room Bring working knowledge of the channels these brands actually run, including Meta, Google, TikTok, YouTube, retail media, and AppLovin, with a clear understanding of what each platform reports, what it doesn't, and where platform-reported performance diverges from business reality Help brands with offline complexity (wholesale, retail, Amazon) think through measurement in contexts where digital-only frameworks don't cleanly apply Reframe the questions brands bring: not "is my Meta ROAS good?" but "are these campaigns driving incremental new customers, or harvesting the brand awareness I've already built?" Apply cross-brand pattern intelligence, without violating confidentiality, to contextualize what individual brands are seeing in their data Support sales as a subject matter expert Join high-value prospe