A fast-growing analytics startup and they are seeking a Senior Data Scientist to join its fully remote team. This is a full-time, 100% US remote opportunity focused on building advanced causal inference and measurement solutions that help lead consumer brands optimize business decisions. You'll work at the intersection of machine learning, economics, and experimental design in a highly research-driven environment. This is a unique opportunity to help bridge cutting-edge academic research and real-world business impact. You'll collaborate directly with an experienced data science team and advisors from top research institutions while helping develop production-grade causal inference models used by enterprise customers. The company offers the autonomy, ownership, and growth potential of an early-stage startup backed by experienced founders with successful exits. Required Skills & Experience Master's degree required; PhD strongly preferred in Statistics, Economics, Computer Science, Mathematics, or a related quantitative field Deep expertise in Causal Inference Experience with Difference-in-Differences (DiD) Strong understanding of Causal Graphs / Directed Acyclic Graphs (DAGs) Python and modern data science tooling Desired Skills & Experience PhD in quantitative discipline Published research involving causal inference or econometrics Experience deploying analytical models into production Experience with retail, CPG, marketing measurement, or consumer analytics Machine learning and experimentation background What You Will Be Doing Tech Breakdown 70% Causal Inference & Econometric Modeling 20% Experimental Design & Statistical Analysis 10% Machine Learning & Data Science Tools Daily Responsibilities 80% Hands-On Modeling & Research 10% Cross-Functional Collaboration 10% Customer & Business Impact Initiatives The Offer You will receive the following benefits: Competitive base salary Equity opportunity Fully remote work environment High-growth startup opportunity Direct exposure to executive leadership and academic advisors Long-term leadership growth potential Applicants must be currently authorized to work in the US on a full-time basis now and in the future.