Staff Data Scientist, Mistplay
Rewards Economy
2 days a week in office (University Ave, Toronto)
Loyalty app for mobile gamers
Job no longer available
Loyalty app for mobile gamers
201-500 employees
Job no longer available
2 days a week in office (University Ave, Toronto)
201-500 employees
Company mission
To be the best way to play mobile games for everyone, everywhere.
Role
Who you are
- 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
What the job involves
- Mistplay is seeking an innovative Data Scientist to lead the design and optimization of our rewards economy.
- In this critical role, you will develop and balance reward systems to ensure they are enticing and add value for our users while maintaining cost-effectiveness for Mistplay.
- Collaborating with the Data and AI organization, you will lead initiatives in real-time predictive modeling and optimization within our machine learning-driven operations
- 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
Our take
Customer retention in mobile gaming can lead to increased ad revenue and more immersive experiences. Mistplay is a loyalty program helping publishers achieve a higher hit rate on their games, whilst simultaneously rewarding gamers for their loyalty.
Its loyalty programme involves curated game recommendation libraries and rewards for partaking in challenges and tournaments. Publishers gain increased ad revenue for partnering with Mistplay, as well as the chance to capitalise on a 6 million+ user base. Indeed, Mistplay has grown significantly since its launch in 2016, resulting in a buyout by GrowthCurve Capital in 2021.
Whilst it mainly focused on Android devices up until 2025, the release of Mistplay for iPhone marks a step up for the company. Its advertising and loyalty programmes can now reach an even larger consumer base, indicating a promising future for the pioneering ad and gaming platform.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Company HQ
International District, Montreal, QC
Leadership
Henri-Charles Machalani
(Co-Founder & Board Member)Henri is also an Investor at Groq and a Board Member at Sami Agtech.
Eugene Joannides
(Co-Founder & Board Member)Eugene is also an Investor at Attain, DataGPT and GENAIZ, and a Limited Partner at GrowthCurve Capital. He previously studied Finance at Concordia University.
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