Lead Data Scientist

• 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

• 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:
  

• 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.
  

• 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.