Sr. Manager, Football Operations and Media Data Science at The National Football League

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Mar, 26

Salary

180000.0

Posted On

05 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Modeling, Data Analysis, Machine Learning, Data Cleansing, R Programming, Python, Communication Skills, NFL Knowledge, SQL, Generalized Linear Models, Tree-Based Methods, Supervised Learning, Unsupervised Learning, Spatio-Temporal Data, Nielsen Viewership, Shiny Apps

Industry

Spectator Sports

Description

The Sr. Manager, Football Operations and Media Data Science is responsible for the aggregation, analysis, modeling, and reporting of data and analytics related to the intersection of Football Operations and game viewership. This includes objective and advanced measures of game competitiveness, equity, leverage, and excitement, as well as using those inputs in the projections of game viewership. The position will serve within the NFL’s central data and analytics organization and report to the Director of Analytical Research and Governance, as well as collaborate with the Senior Director of Football Data and Analytics and the Vice President of Media Reporting and Analytics. Primary responsibilities: Collaborate with Media Reporting and Broadcast departments regarding metrics for game viewership and projected viewership Build, validate, and automate statistical/machine learning models for Football Operations/Media related data, including game competitiveness, equity, leverage, and excitement, and leverage those factors and others to predict NFL game viewership Curate and enhance the NFL’s Football Operations data analytics projects, including data cleansing, analysis, and reporting Work within the central data and analytics team to develop new and relevant metrics for cross-sectional usage across the league Collaborate with the Football Operations group on data and analytics events, including the Big Data Bowl Attend in-person meetings at various points in the NFL calendar Perform ad-hoc analysis and reporting on request Minimum qualifications: 7+ years of experience of building statistical models in sports Bachelor’s degree or higher in statistics, data science, computer science, or related fields Advanced knowledge of R Basic knowledge of python Strong written and verbal communication skills in English Ability to analyze highly sensitive and confidential data Strong knowledge of the National Football League and its teams Preferred qualifications: Master’s degree or higher in statistics, data science, computer science, or other related fields, or the equivalent in industry training. Experience with the tidymodels package in R Experience building Shiny apps Experience building R packages Advanced knowledge of Python Understanding of Nielsen viewership and media math Familiarity and understanding of generalized linear models, tree-based methods, methods for supervised and unsupervised learning, and models of spatio-temporal data Familiarity with SQL Salary/Pay Range This job posting contains a pay range, which represents the range of salaries or hourly rates that the NFL believes, in good faith, at the time of this posting that it might be willing to pay for the posted job in the location(s) specified. The NFL expects to hire for this position near the middle of the range. Only in truly rare and exceptional circumstances, where an external candidate has experience, credentials or expertise that far exceed those required or expected for the position, would the NFL consider paying a salary or rate near the higher end of the range. Salary $130,000—$180,000 USD Benefits Information To learn more about our comprehensive benefits offerings, please visit: NFL BENEFITS At the NFL, in-person work at our offices is a top priority because it allows us to collaborate more effectively, build stronger connections, and maintain the culture that drives our success. This role requires onsite presence at an NFL office or stadium location, and remote and/or hybrid working options are not offered. NO RELOCATION ASSISTANCE WILL BE PROVIDED. The NFL is committed to building an inclusive work environment that reflects our incredible fan base. We provide an environment of mutual respect where equal employment opportunities are available to all employees and applicants without regard to status as protected by applicable federal, state, and local laws. WHO WE ARE: NFL Core Values: Respect: Everyone matters. We celebrate diverse opinions, honor hard work, and value every contribution. Integrity: We do what's right, even when it's tough. We hold ourselves accountable and always follow through. Team Responsibility: We support each other and our communities. No one is bigger than the game, and every action impacts others. Resiliency: We set high standards, overcome adversity, and adapt to challenges, always striving for excellence. NFL Leadership Attributes: Build Talent: We develop and nurture potential, empowering individuals to grow and succeed. Execute: We take action with precision, delivering results that drive our goals forward. Inspire: We motivate others through vision, energy, and a commitment to excellence. Live Our Values: We embody our core principles in every decision and action. Know the Business: We stay informed, understand our industry, and make decisions that strengthen our position. Think Big: We challenge the status quo, envision bold possibilities, and strive for transformative impact WHO YOU ARE: Talent Attributes: What we expect for our employees: Embody an enthusiastic, proactive can-do attitude Embrace grit, free from ego or entitlement Excel as a relationship builder, with the ability to influence Eager learner, driven by passion rather than just ambition Encompasses an incredible work ethic with an agile mindset

Responsibilities

The Sr. Manager will aggregate, analyze, model, and report data related to Football Operations and game viewership. This role involves collaboration with various departments to enhance metrics and predict NFL game viewership.