Monetization Science Strategist

Job Summary

Monetization Science Strategist, a full-time position focused on utilizing data and advanced analytics to develop innovative monetization strategies and pricing models for products.

Key Responsibilities

• Design and analyze monetization strategies, including advanced pricing models and predictive analytics
• Serve as a quantitative advisor to cross-functional teams, translating complex data insights into actionable strategies
• Develop and implement predictive models to forecast customer behavior and revenue impacts of new commercial strategies

Required Qualifications

• Bachelor's degree in a quantitative field such as Data Science, Computer Science, Statistics, or Economics
• 5+ years of experience in a data science or quantitative analytics role focused on commercial or product strategy
• Proficiency in Python or R for data analysis and modeling, along with expertise in SQL
• Experience with machine learning libraries and statistical techniques
• Demonstrated ability to develop and implement predictive models in a business context