Decision Scientist II

Bachelor's degree in a quantitative field (e.g., Mathematics, Computer Science, Operations Research, Economics) or equivalent experience 3+ years of experience in product analytics, business operations, analytics, growth marketing, or product Proficient with A/B testing, experimental design, statistical modeling, and causal inference Proficient in Python (numpy/pandas/matplotlib), R, and SQL Structured analytical approach to problem-solving

Define KPIs and create reports/dashboards Identify opportunities for user acquisition and ROI optimization Turn ambiguous questions into clear analytical problems Become familiar with product data Design, execute, and analyze experiments Create data visualizations, documentation, and presentations