Forward Deployed Data Scientist

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 Experience setting up and analyzing marketing experiments such as A/B, multivariate tests (Bonus) Prior experience in an applied ML, data science, analytics engineering, or forward-deployed role (Bonus) Experience building lightweight internal tools or scripting solutions (Bonus)

Own diagnostics, insights, and tuning for AI Decisioning campaigns Explain AI Decisioning's impact using counterfactuals, incrementality, and cohort analysis Debug performance issues and ensure agent recommendations align with customer goals Investigate experiment setups and surface actionable recommendations Pull historical data for exploratory analyses using Polars/Pandas in Jupyter notebooks Modify and improve customer feature matrices for personalization Conduct SQL analyses in customer warehouses Create templates, notebooks, scripts, and repeatable workflows Identify systemic gaps and influence ML reporting direction Present model insights and recommendations to non-technical stakeholders Explain decision engine concepts like cold start, transfer learning, exploration vs. exploitation Partner with Solutions Consultants to identify new opportunities for uplift