Overview
Staff Applied Scientist - Economy at 2K in London, United Kingdom. This role focuses on applying data science, econometrics and causal inference to optimize game economies and monetization.
Responsibilities
- Lead the design and implementation of econometric models to analyze player behavior and monetization.
- Collaborate with product, design and analytics teams to model player behavior and inform monetization strategies.
- Build and run rigorous experimentation frameworks to test hypotheses and quantify impact.
- Mentor and coach junior scientists, fostering a culture of robust, reproducible analysis.
- Communicate insights clearly to cross-functional stakeholders and influence product strategy.
- Ensure analyses are scalable, maintainable, and well-documented.
Requirements
- PhD or equivalent in Economics, Statistics, Computer Science, or a related quantitative field (or proven equivalent experience).
- Strong background in econometrics, causal inference, and experimental design.
- Proficiency in Python (pandas, scikit-learn) and R; experience with SQL.
- Experience with machine learning frameworks and production-ready modeling.
- Excellent communication and collaboration skills; ability to influence across teams.
- Experience in games or digital economies is a plus.
Benefits
- Competitive salary and benefits package
- Equity options where applicable
- Flexible work environment and strong work-life balance
- Comprehensive health/dental coverage and retirement plans