Data Scientist leading the design and optimization of the rewards economy at Mistplay. Contributing to initiatives in predictive modeling and machine learning-driven operations.
Responsibilities
You will be part of the cross-functional team responsible for the overall rewards strategy and loyalty economy for Mistplay.
Build and implement rewards economy systems and core loops driven by machine learning.
Continuously analyze and optimize economy strategies and implementations to improve engagement and drive business outcomes.
Lead the strategy on how machine learning and AI can advance optimization for better user experience and improved business performance.
Requirements
8+ years total experience in Data Science, Machine Learning, Quantitative Finance (Quant), Econometrics, and/or a Master's or PhD in Data Science, Machine Learning, or a related quantitative field.
Understanding of reinforcement learning (Deep Q, contextual bandits).
Expertise implementing machine learning models using Python and PyTorch, along with strong data analysis skills using SQL and Python.
A fast, agile approach to exploring and implementing solutions with a strategic focus on core loop and economy design.
Background and experience in Quantitative Finance (Quant), Data Science, or related fields, with a fundamental understanding of economy design and core loops in gaming or similar contexts.
A passion for innovative AI solutions, with demonstrated knowledge of real-time predictive modeling.
Prior experience in the mobile gaming industry focused on player behavior economics and engagement strategies is a strong nice-to-have.
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