Director, Data Science

PFF is transforming the sports performance analytics experience end-to-end, building products that help NFL & NCAA and soccer front offices, coaching staffs, media partners and digital subscribers evaluate player performance at an unmatched level. We're the global leader in football data collection, analysis, and application, powering smarter decisions for teams, media, and fans. This isn't just another data science role; as Director of Data Science, you'll lead a team at the forefront of AI-driven football analytics, helping revolutionize the game. Your work will shape the next generation of football intelligence by defining research, collaborating across teams, and bringing insights to life. We seek someone with deep machine learning experience, and a passion for football, who thrives in innovation and creativity, impacting the game worldwide. If you're ready to lead this transformation, join us. Role Requirements Lead and develop the data science team, fostering a culture of innovation, collaboration, and continuous learning. Work closely with cross-functional teams, including engineering, product, and design to integrate data-driven insights into PFF's products and services. Identify relevant new research topics whose solutions will add value to our products or result in new products. Perform the necessary research toward solutions for problems posed by both our data science team itself and by other stakeholders. Ensure scalability and efficiency of data science models in real-world applications, improving speed, accuracy, and reliability using industry leading best practices. Stay ahead of industry trends in sports analytics, AI, and machine learning to keep PFF at the forefront of data and AI driven football insights. Effectively communicate insights to both technical and non-technical stakeholders, translating complex data into actionable football intelligence. Skills & Experience 10+ years of statistical modeling and machine learning experience is required with at least 3+ years in a leadership role managing teams. Expert grasp of software architecture, development practices/tools especially in regards to large-scale datasets is required. Experience designing, building, testing, deploying and maintaining predictive AI/ML models at scale and in production environments is required. Proficiency in Python, R, SQL, and cloud-based data platforms. Excellent communication and collaboration skills are required. A deep understanding of football analytics, player tracking data, and advanced metrics is required.

PFF is transforming the sports performance analytics experience end-to-end, building products that help NFL & NCAA and soccer front offices, coaching staffs, media partners and digital subscribers evaluate player performance at an unmatched level.