Applied Data Scientist, Marketing Science

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. Why Triple Whale Needs You: We’ve reached a strong product–market fit and are scaling rapidly — which means marketing measurement, experimentation, and optimization are becoming more complex and more critical than ever. As privacy changes, fragmented signals, and multi‑channel marketing continue to evolve, brands need sophisticated, production‑grade marketing science they can actually trust. We’re looking for an Applied Data Scientist to help us build and scale the core marketing science products that power our platform. This role sits at the intersection of data science and engineering: owning statistical models end to end, deploying them into production, and turning advanced analytics into reliable, customer‑facing capabilities. Your work will directly influence how thousands of brands measure ROI and allocate millions in marketing spend. What You’ll Do: Build marketing measurement and optimization products (e.g., attribution models, MMM, incrementality testing, forecasting systems) Develop and deploy statistical and machine learning models to production Create scalable data pipelines and APIs that serve real-time analytics Partner closely with Product, Engineering, and other stakeholders to translate business questions into clear analytical solutions. Own features end to end from statistical design and validation through deployment, monitoring, and iteration. What You’ll Bring: 4–7 years of experience in applied data science Ability to work from our Jerusalem office (located in the Central Bus Station next to the train) 2 times a week (Monday & Wednesday) is required Strong Python skills (pandas, scikit-learn, statistical libraries) Experience deploying models to production (not just notebooks) Solid statistics and machine learning fundamentals SQL and database experience Experience in building APIs or backend services Bachelor's or Master's in a quantitative field (Statistics, CS, Math, Machine Learning/Data Science) Strong English communication skills with technical and non-technical audiences Self-starter comfortabl...