qualifications: • knowledge of applied mathematics, statistical methods, machine learning and algorithms with a formal degree in business/economics/statistics or engineering. • hands-on experience with sql. • experience working with r or similar open-source statistical software. • analytical coder adept in any scripting language (python, c++, javascript etc.,) • experience in applied statistics, understanding of controlled experiments is an advantage. • deadline driven, ability to work independently. • detail oriented, with a strong passion for analytics and problem solving. • excellent written and orkey roles & responsibilities • analyze and acquire a deep understanding of game features/user behaviour/metric trends through data and share actionable and valuable insights with the team to drive product decisions • understanding business requirements and implementing analytical solutions & techniques • designing and analyzing experiments to test new product ideas • developing algorithms and predictive models to solve critical business problems and test feasibility of solution approach • prototyping new ways to visualize and understand data relationships • own the design, development, and maintenance of ongoing reports, dashboards, etc. • developing tools and libraries that will help the team to improve efficiencyal communication skills