Senior Sports Analytics Specialist

About the job

Responsibilities: Collect, clean, and analyze large datasets related to player performance, team statistics, game outcomes, and fan behavior. Develop and implement advanced statistical models and machine learning algorithms to predict player performance, identify talent, and optimize game strategies. Create compelling data visualizations and reports to communicate complex findings to coaches, management, and non-technical stakeholders. Collaborate with sports performance staff, coaches, and athletes to understand their needs and provide data-driven recommendations. Identify key performance indicators (KPIs) and establish benchmarks for success across different sports. Conduct in-depth research on emerging trends in sports analytics and technology. Contribute to the development of data infrastructure and analytics tools. Present findings and insights at team meetings and industry conferences. Mentor junior analysts and contribute to a data-centric culture within the organization. Stay updated with the latest advancements in sports science, sports psychology, and performance analysis. Qualifications: Master's or Ph.D. in Statistics, Data Science, Sports Science, Computer Science, or a related quantitative field. 5+ years of experience in sports analytics or a similar data-intensive analytical role. Proven expertise in statistical modeling, predictive analytics, and machine learning techniques (e.g., regression, classification, clustering, time series analysis). Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow). Experience with database management (SQL) and data warehousing concepts. Strong data visualization skills using tools like Tableau, Power BI, or matplotlib. Deep understanding of various sports and their performance metrics. Excellent problem-solving and critical thinking abilities. Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences. Experience working with large, complex datasets and ensuring data integrity.

Requirements

• Statistical Modeling
• Predictive Analytics
• Machine Learning
• Data Visualization
• Collaboration

Qualifications

• Master's or Ph.D. in Statistics
• Data Science
• Sports Science
• Computer Science or a related quantitative field

Preferred Technologies

• Statistical Modeling
• Predictive Analytics
• Machine Learning
• Data Visualization
• Collaboration