What Youre Applying forAs a Marketing Scientist on Triple Whales Marketing Science team, youll be a key operator within the unified measurement, Compass experience. This is a hands-on individual contributor role. Youll 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) dont just need data, they need support turning measurement into decisions that hold up in the real world.
Reporting into our Marketing Science Lead, youll partner closely with a Marketing Data Scientist, who co-owns model configuration and statistical rigor for MMM, incrementality testing. Your focus will be supporting operator translation, analysis execution, and helping shape the measurement roadmap for each customer.
Youll 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, youll work cross-functionally with Product, Data Science, and CSM, helping bridge the gap between customer complexity and Triple Whales solutions.
What Youll Do- 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 brands 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 Whales capabilities into each brands 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
What Youll Bring- Real operator experience at scale: Youve 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. Youve 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 dont 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
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