Role Overview

We are seeking a Sports Mathematician/Analyst to join our dynamic analytics team. The ideal candidate will have a strong foundation in probability, statistics, and mathematical modeling, coupled with solid programming skills. The role involves analyzing sports data, building predictive models, and providing insights to inform decision-making processes.

Key Responsibilities

• Analyze and interpret sports data to uncover trends and insights.
• Develop statistical and machine learning models to predict outcomes and assess performance metrics.
• Design and implement simulations and optimization algorithms for sports forecasting.
• Communicate findings and recommendations clearly through visualizations and reports.
• Monitor model performance and update algorithms as needed based on new data.
• Assist in data preprocessing and feature engineering tasks.
• Stay up-to-date with advancements in sports analytics, machine learning, and data science.

Required Qualifications

• Bachelor’s degree in Mathematics, Statistics, Data Science, Computer Science, Physics, or a related field.
• Strong foundation in probability theory, statistical modeling, and hypothesis testing.
• Proficiency in programming languages (Python preferred).
• Familiarity with libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
• Excellent problem-solving and analytical skills.
• Strong written and verbal communication abilities.

Preferred Qualifications

• Experience in sports modeling, betting algorithms, or odds calculation.
• Hands-on experience in building and deploying machine learning models.
• Interest and passion for sports analytics and predictive modeling.

Why Join Us?

• Innovative Environment: Work with cutting-edge tools and methodologies in sports analytics.
• Collaborative Team: Be part of a passionate team dedicated to redefining sports analytics.
• Growth Opportunities: Develop your expertise and advance your career in an exciting field.