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Staff Data Scientist I, Rewards Economy
Mistplay
Montreal, CAN
Full Time
Senior
Hybrid
1 weeks ago
Machine LearningReinforcement LearningPythonPyTorchSQLContextual Bandits
Free
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Machine LearningReinforcement LearningPython
About the Role
Mistplay seeks a Staff Data Scientist to lead the design and optimization of its rewards economy. You will develop and balance reward systems using machine learning, reinforcement learning, and real-time predictive modeling.
Key Skills for This Role
Machine LearningReinforcement LearningPythonPyTorchSQLContextual Bandits
Responsibilities
- You’ll be part of the cross functional group responsible for the overall rewarding and the loyalty economy strategy for Mistplay.
- 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.
- Distill complex model outputs into actionable strategic insights for executive stakeholders, advocating for AI first approaches to loyalty and retention.
- Design and productionize contextual bandits and RL frameworks to personalize reward distribution in real time, ensuring the right user gets the right incentive at the right moment.
- Serve as the primary architect for Mistplay’s rewards economy, balancing complex variables to ensure a 'win win' scenario: maximum value for players and sustainable unit economics for the business.
- Partner with Product, Analytics, Engineering, and Finance to translate high level business goals into algorithmic constraints and incentive structures.
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
- Fast and agile approach to exploring and implementing solutions with a strategic focus on the core loop and economy design
- 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
Full Job Posting
Company Overview
- Mistplay is the #1 loyalty app for mobile gamers.
- Our community of millions of engaged mobile gamers come to Mistplay to discover new games to play and earn rewards.
- Mistplay is on a mission to be the best way to play mobile games for everyone everywhere!
Role Overview
- Mistplay is seeking an innovative Data Scientist to lead the design and optimization of our rewards economy.
What You'll Do at Mistplay
- You’ll be part of the cross functional group responsible for the overall rewarding and the loyalty economy strategy for Mistplay.
- 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.
- Distill complex model outputs into actionable strategic insights for executive stakeholders, advocating for AI first approaches to loyalty and retention.
- Design and productionize contextual bandits and RL frameworks to personalize reward distribution in real time, ensuring the right user gets the right incentive at the right moment.
- Serve as the primary architect for Mistplay’s rewards economy, balancing complex variables to ensure a 'win win' scenario: maximum value for players and sustainable unit economics for the business.
- Partner with Product, Analytics, Engineering, and Finance to translate high level business goals into algorithmic constraints and incentive structures.
What You'll Bring to Mistplay
- 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.
- Fast and agile approach to exploring and implementing solutions with a strategic focus on the core loop and economy design.
- 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.
- Prior experience in the mobile gaming industry with a focus on the economics of player behavior and engagement strategies is a strong nice to have.
Why Mistplay?
- We strive to make our work environment as inviting and fun as possible!
- Working at Mistplay is coupled with a whole array of perks that we've adopted virtually and in person: Team Lunches, game nights, company wide events, and so much more.
- Our culture is deeply rooted in growth and upheld by a team of smart, dynamic, and enthusiastic people.
- We utilize data to constantly learn, improve, and adapt.
- We foster an environment where everyone is encouraged to share their ideas, push boundaries, take calculated risks, and witness their visions come to life.
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