Data Scientist

About the Role We are looking for a Data Scientist to join our core Panel Science team. Our group is focused on building a mathematically rigorous single source of truth for enterprise consumer analytics, bridging foundational statistical modeling, data infrastructure, and advanced analytical product architecture. What You'll Do

• Statistical Modeling & Distribution Optimization: Design, validate, and deploy robust, scalable optimization frameworks and distribution models to ensure complete mathematical integrity across downstream metrics.
• Methodology & Panel Foundations: Explore and execute complex methodologies, evaluate methodological trade-offs, and implement advanced statistical procedures.
• Analytical Logic & Governance: Partner cross-functionally to transition ad hoc code into standardized, version-controlled templates and logical libraries; ensure analytics are structured cleanly to power diverse product surfaces, from interactive dashboards to LLM-driven applications.
• Infrastructure & Performance Optimization: Partner closely with Data Engineering to optimize code performance and scale analytical workflows; help transition complex statistical calculations from standard database queries into production-grade cloud compute architectures. What We're Looking For
• Experience: 4–5 years of professional data science experience; 2–3 years of experience with an advanced degree.
• Education: Bachelor’s degree in a highly quantitative field (Statistics, Economics, Physics, Mathematics, Engineering, or related). A Master’s degree is strongly preferred.
• Mathematical Proficiency: Exceptional expertise in working with, modeling, and optimizing for statistical distributions.
• Technical Stack: Advanced proficiency in Python or R and expert-level SQL. Nice to Have
• Direct experience working with panel data or longitudinal consumer data.
• Hands-on experience analyzing receipt data or transaction-level consumer data.
• Experience working with Databricks and scaling advanced compute workloads. Compensation & Benefits
• Our annual on-target earnings are up to $170K + bonus element; equity included. Final offer may be determined by experience, knowledge, skills, abilities, and internal benchmarks.
• This role may be performed fully remotely within the United States. US headquarters are in NYC with hubs in Austin, Miami, Denver, Mountain View, and Seattle. Flexible work hours, generous 401K match, parental leave, wellness budget, and learning reimbursement are some of the benefits.