Sports Data Scientist/Sports Mathematical Modeler

Description: Seeking a skilled Math Modeler with a background in sports betting. Develop predictive models for sports and esports events, collect and preprocess data, and implement algorithms for forecasting outcomes and odds. Requirements: Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, or related field. 3+ years of experience in data analysis and predictive modeling. Solid knowledge in Python. Knowledge of sports and esports ecosystems is advantageous. Experience with machine learning frameworks and statistical software is a plus. Strong analytical, problem-solving, and communication skills. Intermediate English proficiency. Benefits: Comprehensive health insurance coverage. Paid sick leave up to 10 days without a medical certificate. 20 days of paid vacation plus additional leave for important life events. Learning and growth opportunities with professional development support. Language learning support for multilingual collaboration. Modern hardware provided for work. International team environment across multiple countries. Corporate events and team activities. Welfare support program for critical situations. Gifts and support for major life milestones.