Bachelor's degree (MS preferred) in Mathematics, Computer Science, or a highly quantitative STEM field. 5+ years experience in Data science and ML roles. Solid foundation in statistics, machine learning, and causal inference with experience applying these methods to business problems (e.g., regression, time series analysis, A/B testing, Bayesian modeling, signal processing). Proficiency in Python/R, SQL, and experience with data platforms and statistical modeling libraries. Experience with working in a small, fast-paced company. Comfort explaining technical concepts to non-technical audiences and troubleshooting customer issues.