Director Data Science
Director Data Science
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Job Description
Job Details
DIRECTOR OF DATA SCIENCE
PFF is the global leader in the collection analysis and application of sports data. With clients spanning the majority of the professional and college football landscapes along with major media entities and sports fans worldwide PFF is at the forefront of revolutionizing how football is played coached and consumed. Our datadriven insights empower teams broadcasters and fans with cuttingedge analytics that drive smarter decisions on and off the field.
Toward these aims our team is seeking an experienced and innovative Director of Data Science to lead our data science initiatives and drive the development of AI driven football analytics. This role will be responsible for overseeing the research modeling and deployment of advanced statistical and machine learning methods to extract meaningful insights from PFFs rich dataset. The ideal candidate will have a passion for sports analytics a deep understanding of data science methodologies and a proven track record of leading highperforming teams.
Role Requirements
- Lead and develop the data science team fostering a culture of innovation collaboration and continuous learning.
- Work closely with crossfunctional teams including engineering product and design to integrate datadriven insights into PFFs 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 realworld 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 nontechnical 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 largescale 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 cloudbased data platforms.
- Excellent communication and collaboration skills are required.
- A deep understanding of football analytics player tracking data and advanced metrics is required.
Qualifications
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 largescale 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 cloudbased data platforms.
- Excellent communication and collaboration skills are required.
- A deep understanding of football analytics player tracking data and advanced metrics is required.
Required Experience:
Director
Employment Type
Remote
Company Industry
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