Lead Data Scientist

We are looking for a Lead Data Scientist to build intelligent, data-driven products that improve player

experience

and business performance across our gaming portfolio. You will work closely with Product Managers, Engineers, and Analysts to solve challenging business problems using statistics, optimization, experimentation, and Machine Learning. You will own projects from ideation through production deployment while mentoring junior data scientists and helping establish best practices across the team.

Responsibilities

Build Machine Learning models supporting personalization,recommendations, LiveOps, monetization, and player engagement. Design and analyze experiments using robust statistical methodologies. Develop predictive models including player segmentation, churn prediction,LTV estimation, and revenue forecasting. Apply optimization techniques to improve player experiences and business outcomes. Translate business problems into scalable AI solutions. Build production-ready ML pipelines together with engineering teams. Partner with Product and Engineering to evaluate business impact. Mentor junior Data Scientists. Stay current with advances in AI, Machine Learning, and Decision Science.

Requirements

Requirements

5–8 years of

experience

in Data Science or Applied Machine Learning. Strong product

experience

in Gaming, Consumer Internet, E-commerce,Marketplace, or Decision Science platforms. Demonstrated

experience

deploying Machine Learning solutions into production. Strong understanding of: o Statistics o Machine Learning o Bayesian Methods o Experimental Design o Optimization o Predictive Modeling

Experience

working with Apache Spark. Strong conceptual understanding of Agentic AI, LLM applications, and workflow automation tools such as n8n. Strong Python and SQL programming skills.

Experience

working with cloud-based ML environments. Excellent communication and collaboration skills. An avid gamer with a passion for understanding player behaviour and game mechanics. What we look for Strong analytical thinking. Product mindset. Excellent problem-solving ability. Ownership and execution focus. Ability to collaborate across teams. Passion for learning emerging AI technologies. Comfortable working in a fast-paced product environment.

Requirements

5–8 years of

experience

in Data Science or Applied Machine Learning. Strong product

experience

in Gaming, Consumer Internet, E-commerce,Marketplace, or Decision Science platforms. Demonstrated

experience

deploying Machine Learning solutions into production. Strong understanding of: o Statistics o Machine Learning o Bayesian Methods o Experimental Design o Optimization o Predictive Modeling

Experience

working with Apache Spark. Strong conceptual understanding of Agentic AI, LLM applications, and workflow automation tools such as n8n. Strong Python and SQL programming skills.

Experience

working with cloud-based ML environments. Excellent communication and collaboration skills. An avid gamer with a passion for understanding player behaviour and game mechanics. What we look for Strong analytical thinking. Product mindset. Excellent problem-solving ability. Ownership and execution focus. Ability to collaborate across teams. Passion for learning emerging AI technologies. Comfortable working in a fast-paced product environment.