Tech Stack

Description

You will lead key initiatives that enhance the quality of decision-making by leveraging data and analytical frameworks to improve operational efficiency. You'll work cross-functionally with Data Scientists, Product Managers, and Finance partners to create strategies and models that drive financially efficient decisions.

Requirements

• Bachelor's, Master's, or PhD in a quantitative field (Statistics, Economics, Computer Science, etc.) or equivalent experience
• 3+ years of industry experience in decision science, analytics, or data science with influence on strategy
• Proven ability to own multi-project analytical scopes with ambiguous problem definitions
• Proficiency in SQL, Python, and tools for data manipulation, statistical modeling, and visualization
• Strong communication and critical thinking skills, with ability to translate insights for diverse audiences

Responsibilities

• Identify opportunities for improving operational efficiency using data and analytical frameworks
• Define decision frameworks, measurement strategies, and scientific methodologies for consistency and rigor
• Deliver integrated analytical outputs across multiple projects navigating ambiguity and cross-team dependencies
• Define and implement a robust attribution framework to evaluate high-stakes decisions
• Write efficient, production-level code (Python, SQL) ensuring reproducibility and maintainability