Staff Data Scientist I, Rewards Economy

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About the role

  • 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.

Benefits

  • Team lunches
  • Game nights
  • Company-wide events

Job type

Full Time

Experience level

Lead

Salary

Not specified

Degree requirement

Postgraduate Degree

Tech skills

PythonPyTorchSQL

Location requirements

HybridMontrealCanada

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