Senior Data & Applied Scientist

## About the role Experimentation & A/B Testing Design, analyze, and interpret A/B experiments end‑to‑end, from hypothesis formulation to final decision. Choose appropriate metrics, success criteria, and evaluation windows based on user behavior and business context. Identify and diagnose common experimentation issues (e.g., bias, interference, power limitations, metric sensitivity). Communicate experimental results clearly, including uncertainty, limitations, and trade‑offs. Develop good judgment about when to rely on automation vs. when deep statistical reasoning is required. Contribute to shared standards and documentation that improve how teams run experiments and make decisions. ## Requirements - Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) - OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) - OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) - OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) - OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 6+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) - OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) - OR equivalent experience.