Remote Decision Scientist II

Summary

Join our team as a Decision Scientist II and collaborate with product management, engineering, design, and marketing teams to drive the development, prioritization, and planning of the product roadmap. You will transform insights into decisive actions and product enhancements, providing business teams with actionable insights and investigating issues to empower leadership decisions.

Requirements

• Bachelor's degree in a quantitative field such as Mathematics, Computer Science, Operations Research, Economics, or equivalent experience
• 3+ years of experience in product analytics, business operations, analytics, growth marketing, or product
• Proficient experience with A/B testing, experimental design, and utilizing statistical principles such as probability, causal inference, and Bayesian inference to inform business decisions
• Proficient in statistical computing and scripting languages such as Python (numpy/pandas/matplotlib), R, and SQL
• Structured analytical approach to problem-solving, with the ability to turn complex problems into clear analytical tasks

Responsibilities

• Define KPIs and create reports and dashboards against large data sets to track performance
• Use data to identify opportunities for improving user acquisition and optimizing return on investment
• Turn ambiguous questions into clear analytical problems and solve them using data
• Become deeply familiar with product data, understanding its limitations and caveats, to support development and growth
• Design, execute, and analyze experiments that drive product growth and improvement
• Create readable and informative data visualizations, documentation, and presentations to communicate insights to stakeholders and executives

Preferred Qualifications

• Advanced degree (Master’s or Ph.D.) in a quantitative field such as Mathematics, Computer Science, Operations Research, or Economics
• Extensive knowledge and practical experience in probability and statistics, causal inference, experimental design, synthetic control, product ecosystems, and Bayesian inference
• Advanced skills in R or Python, and experience with machine learning models
• 5+ years of experience in business operations, analytics, growth marketing, or product, particularly in go-to-market or performance marketing initiatives
• Experience working on product analytics for an infrastructure product