Staff Data Scientist I, Rewards Economy
MistplayMobile Game company
Montreal, CanadaSenior
GrowthCurve Capital
Data & AI
About the role
TL;DR
Develop and optimize reward systems for Mistplay's loyalty economy.
- •Mistplay is seeking an innovative Data Scientist to lead the design and optimization of our rewards economy.
- •Key Responsibilities Create and implement machine learning driven rewards economy systems and core loops.
- •Continuously analyze and optimize the economy strategies and implementations to enhance engagement and drive business outcomes.
- •Drive the strategy on how machine learning and AI can further advance the optimization for better user experience and business performance.
- •Design and productionize contextual bandits and RL frameworks to personalize reward distribution in real-time.
- •Serve as the primary architect for Mistplay’s rewards economy, balancing complex variables to ensure a "win-win" scenario.
- •Requirements A combination of 8+ years in Data Science, Machine Learning, Quant, Econometrics, and/or Master’s or Ph.D. in Data Science, Machine Learning, or a related quantitative field.
- •Understanding of reinforcement learning (DeepQ, contextual bandits).
- •Expertise in implementing machine learning models using Python and PyTorch, paired with strong data analysis skills using SQL and Python.
- •Experience and background in Quant, Data Science, or related fields, with a foundational understanding of economy and core loop designs in gaming or similar contexts.
- •A passion for innovative AI solutions, with demonstrated knowledge in real-time predictive modeling.
Required skills
PythonSQLPyTorch
Domain expertise
gaming
Tech stack
PythonSQLPyTorch