> Markdown version of [/jobs/ext/4258737-sports-data-scientist-sports-mathematical-modeller](https://www.wearedevelopers.com/jobs/ext/4258737-sports-data-scientist-sports-mathematical-modeller). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # SPORTS DATA SCIENTIST/SPORTS MATHEMATICAL MODELLER - **Company:** EARLYBIRD INC - **Location:** United States - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Data Analysis, Python (Programming Language), Tensorflow, Information Technology - **Published:** October 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/sports-data-scientist-sports-mathematical-modeller--e52e8c43-06a9-4625-9b82-3b5b785be81e ## About the Role Data Science, Mathematical Modeling, Sports Science, Mathematics, Forecasting, Performance Modeling, Algorithms, Predictive Modeling, Cross-Functional, Sports, * Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, or a related field * 3+ years of experience in data analysis and predictive modelling * Solid knowledge in Python * Knowledge of sports and esports ecosystems is a great advantage * Experience with machine learning frameworks and statistical software is a great plus * Strong analytical, problem-solving, and communication skills. * English - intermediate ## Description We are seeking a skilled Math Modeler with a background in sports betting to join our team. The role involves developing predictive models for sports and esports events, collecting and preprocessing data from various sources, and implementing algorithms to forecast game outcomes and betting odds. The successful candidate will analyze model performance, refine techniques to enhance accuracy, and collaborate with cross-functional teams to integrate these models into our betting platforms., * Develop predictive models for various sports and esports events * Collect, clean, and preprocess data from multiple sources * Implement algorithms to forecast game outcomes and betting odds * Analyze model performance and refine techniques to improve accuracy * Collaborate with cross-functional teams to integrate models into betting platforms * Present findings and insights to stakeholders through reports and visualizations