Tech Stack

Description

You will drive revenue optimization through experimentation, data science modeling, and pricing intelligence. Partner with Product, Sales, Finance, and Marketing to translate business needs into pricing solutions, design A/B tests, build pricing models, and deliver actionable insights.

Requirements

• Bachelor's in quantitative field (Statistics, Data Science, Math, Economics, Engineering, CS); 6+ years experience
• SQL and Python proficiency (pandas, numpy, scipy) — 4+ years
• 2+ years of pricing strategy, monetization analytics, or experimentation (digital marketplaces/SaaS preferred)
• Strong EDA, statistical methods (t-tests, power analysis, causal inference), and data science modeling
• Experience with cloud data environments (Snowflake, AWS) and ability to drive revenue KPIs

Responsibilities

• Design and analyze A/B tests for pricing experiments
• Build data science models for willingness-to-pay, price elasticity, churn prediction, and promotional optimization
• Develop pricing and packaging business models to support strategic decisions
• Conduct end-to-end data science work: collection, ETL, modeling, insights delivery
• Build self-service dashboards and analytical layers for stakeholders