TL;DR

Staff Data Scientist I (AI): Leading the design and optimization of a rewards economy for a mobile gaming loyalty app with an accent on real-time predictive modeling and machine learning-driven operations. Focus on developing and balancing reward systems, ensuring user engagement, and driving business outcomes through innovative AI solutions.

Location: Hybrid in Toronto or Montreal, Canada (2 days/week in-office required)

Company

Mistplay is the #1 loyalty application for mobile gamers, allowing users to discover new games and earn rewards.

What you will do

  • Lead the design and optimization of the overall rewards and loyalty economy strategy.
  • Create and implement machine learning-driven rewards economy systems and core loops.
  • Continuously analyze and optimize economy strategies and implementations to enhance engagement and drive business outcomes.
  • Drive the strategy on how machine learning and AI can further advance optimization for better user experience and business performance.
  • Distill complex model outputs into actionable strategic insights for executive stakeholders.
  • Design and productionize contextual bandits and reinforcement learning frameworks for personalized reward distribution.

Requirements

  • A combination of 8+ years in Data Science, Machine Learning, Quant, Econometrics, and/or a Master’s or Ph.D. in a related quantitative field.
  • Understanding of reinforcement learning (DeepQ, contextual bandits).
  • Expertise in implementing machine learning models using Python and PyTorch.
  • 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.
  • English: B2+ required.

Nice to have

  • Prior experience in the mobile gaming industry with a focus on the economics of player behavior and engagement strategies.

Culture & Benefits

  • Collaborative and growth-oriented work environment.
  • Team lunches, game nights, and company-wide events (virtual and in-person).
  • Data-driven culture for continuous learning and improvement.
  • Environment that encourages sharing ideas, pushing boundaries, taking calculated risks, and witnessing visions come to life.
  • AI tools may be used to support parts of the hiring process, but human judgment makes final hiring decisions.