Marketing Scientist

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 65,000 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. 

As a Marketing Scientist on Triple Whale's Marketing Science team, you'll be a key operator within the unified measurement, Compass 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 co-owns model configuration and statistical rigour for MMM, incrementality testing. Your focus will be supporting operator translation, analysis execution, and helping shape the measurement roadmap for each customer.

You’ll help deliver the measurement strategies for a portfolio of Compass brands, from test design and MMM interpretation to attribution analysis and ongoing recommendations. You may also support select prospective client conversations as a Marketing Science 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.

• 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 organisational complexity brands face when acting on measurement insights

• 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 organisational 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

Triple Whale is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

If you’re looking for more than just a job and want to be part of a movement reshaping the future of Ecommerce, Triple Whale is the place for you. We’re on the lookout for driven, curious, and creative individuals ready to thrive in a fast-paced environment.

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