Forward Deployed Marketing Data Scientist

ABOUT THE ROLE We're seeking a Forward Deployed Marketing Data Scientist to partner closely with our AI Decisioning customers and internal engineering teams to ensure that AI-driven marketing campaigns deliver measurable, compounding impact. This role is uniquely cross-functional, requiring you to diagnose model behavior, tune ML levers, analyze incrementality, explore customer data, and explain insights to marketers and executives. As a Forward Deployed Marketing Data Scientist, you'll work alongside ML engineers, product managers, Solutions Consultants, and some of the world's most recognizable brands to improve campaign performance, debug experiments, and identify opportunities for additional lift. Roughly 30% of your time will be customer-facing and 70% will be deep analytical and modeling work. Your mission is to make sure that AI agents perform at their best—and to help customers understand why they are performing the way they are. You'll own diagnostics, insights, and tuning for AI Decisioning campaigns, work deeply with data in notebooks and customer warehouses, build lightweight tooling that enables scale, and communicate ML concepts clearly to non-technical stakeholders. WHAT YOU'LL DO - Own diagnostics, insights, and tuning for AI Decisioning campaigns - Explain why AI Decisioning is driving lift using counterfactuals, incrementality breakdowns, and cohort analysis - Debug performance issues, iterate on reward functions, and ensure the agent's recommendations align with customer goals - Investigate experiment setups (send volumes, reachability, channel constraints) and surface actionable recommendations - Pull down historical data to run exploratory analyses using Polars / Pandas in Jupyter notebooks - Modify and improve customer feature matrices to unlock deep personalization - Conduct deeper warehouse-level SQL analyses when insights aren’t available in the UI - Create templates, notebooks, scripts, and repeatable workflows that improve how we analyze performance across customers - Present model insights and recommendations to marketers, analysts, and executives - Explain how the decision engine handles cold start, message transfer learning, exploration vs. exploitation, and more - Partner closely with Solutions Consultants to identify and drive new opportunities for uplift WHAT YOU'LL NEED - Strong ability to perform deep exploratory data analysis in Python (Polars / Pandas, Jupyter notebooks) - Ability to write and interpret SQL for customer warehouse analysis - High-level understanding of ML modeling concepts (features, hyperparameters, reward functions, training windows) - Excellent communication skills; able to explain technical reasoning simply and confidently to marketers - A customer-first attitude with high ownership and urgency when resolving issues WHY REMOTE As a remote-first company, we focus on impact and potential for growth more than years of experience. Our salary range for this position is $140,000 - $220,000 USD per year, which is location independent. BENEFITS - Competitive salary range of $140,000 - $220,000 USD per year - Location-independent compensation - Opportunity to work with a talented, intellectually curious, and motivated team - Ability to tackle complex problems and drive meaningful impact - Flexible and remote work environment