Data Scientist

Summary

Join Playon as a Data Scientist to spearhead the development of sports ranking systems and internal performance metrics for high school teams on MaxPreps. You will build data and algorithms to generate national and state rankings, providing business intelligence insights to guide strategy, operations, and engagement. Leverage your backend development experience to create impactful contributions to fan experience. Responsibilities include designing and implementing data-driven ranking algorithms, refining formulas based on stakeholder feedback, ensuring rankings are explainable, creating visualizations, collaborating with cross-functional teams, building dashboards and reports, and analyzing user engagement KPIs. The ideal candidate possesses a Bachelor's or Master's degree in a related field, 2+ years of data science or sports analytics experience, proficiency in Python or R, advanced SQL skills, experience with AI tools and RESTful APIs, and excellent communication skills. Playon offers a collaborative and growth-oriented culture with various benefits.

Requirements

• Bachelor’s or Master’s degree (or equivalent experience) in Data Science, Statistics, Mathematics, Computer Science, or related field
• 2+ years of experience in data science or sports analytics
• Proficiency in Python, R, or similar data analysis tools
• Advanced SQL skills with a strong focus on PostgreSQL for efficient extraction and processing of large relational datasets
• Ability to leverage AI tools and techniques for data analysis, trend detection, and extraction of actionable insights
• Experience extracting and integrating data from RESTful APIs for analysis and storage
• Familiarity with BI tools such as Tableau
• Excellent communication skills with the ability to explain complex information

Responsibilities

• Develop a variety of rankings algorithms for high school sports
• Provide data insights to inform product strategy
• Design and implement data-driven ranking algorithms for sports teams including predictive rankings
• Continuously refine rankings formulas based on feedback from stakeholders
• Ensure the rankings are explainable for public-facing applications
• Create visualizations of rankings to present data in interactive formats for users and stakeholders
• Collaborate with product, engineering, data, and operations teams to turn data into actionable business insights
• Build and maintain dashboards and reports that provide operational insights for decision-makers
• Analyze user engagement and other KPIs to inform product strategies

Benefits

• Multiple medical insurance plans to choose from
• Dental, vision life and disability insurance
• Employee Emergency Fund
• Company equity (stock options)
• Open PTO policy
• 401K plan with company match
• Hybrid/flexible work environment