Football moves fast, and the data behind it has to move just as fast to stay useful. We're bringing on a Remote NFL Sports Statistician to handle that work — tracking live games, processing performance data, and making sure the numbers powering broadcasts and digital platforms are accurate the moment they're needed.
Overview
This is a fully remote position built around real-time accuracy under real-time pressure. You'll be entering play-by-play data as games happen, then shifting into analysis mode once the final whistle blows, turning raw statistics into insight that editorial and production teams can put to use right away.
Live Game Responsibilities
During games, your focus stays on accurate, timely data entry — every play logged correctly, with no room for delay. You'll work alongside internal broadcast teams to keep timelines in sync, since a data mismatch during a live broadcast can't wait until later to fix.
Off-Game Responsibilities
Outside live coverage, historical data gets aggregated and reviewed for patterns worth surfacing. Part of the job is recognizing which trends actually matter and turning them into something a producer or editor can act on, rather than raw numbers sitting unused in a file.
Data Quality Work
Accuracy doesn't happen automatically. You'll run real-time error checks, resolve discrepancies when two sources don't agree, and regularly review tracking tools for anything that looks off or missing before it causes a bigger issue downstream.
Team Collaboration
Coordination happens across several groups: digital engineers and data pipeline teams on reporting workflows, product and research teams on consumer-facing dashboards, and machine learning specialists who need football context to keep their models grounded in reality.
Qualifications
A Bachelor's degree in Sports Analytics, Statistics, Data Science, or a related field is required for this role. In terms of experience, candidates should have at least 2 years of experience working with sports statistics or data analysis, with live event exposure viewed favorably. Additional coursework in predictive modeling is welcome but optional.
Skills That Support This Work
Familiarity with sports statistics platforms such as STATS Perform or Genius Sports is expected, along with comfort with remote collaboration tools such as Slack, Notion, or Microsoft Teams. Intermediate skills in Python, R, or SQL are highly beneficial when working directly with raw data. Beyond the technical side, a real understanding of NFL rules, game flow, and team structure is what allows the numbers to actually mean something.
Systems and Platforms
Live entry happens through proprietary data systems designed for sports coverage. Tableau and Looker support visualization work when insights need to reach a non-technical audience. Cloud repositories keep collaborative work organized, and you'll have a hand in maintaining API endpoints for real-time stat feeds and contributing to latency reduction on the engineering side.
A Note on the Team
This posting comes through Naukri Mitra, connecting candidates with a team that's geographically dispersed yet stays closely coordinated through regular workshops and peer reviews. Scheduling offers genuine flexibility, though live broadcasts impose firm deadlines that don't budge regardless of personal preference.
Compensation
The annual salary for this role is $131,326.
Career Path
Advancement here typically moves toward senior statistician roles, data product leadership, or sports analytics strategy positions. Mentorship comes from professionals already established in sports data science, and cross-functional exposure builds knowledge in areas such as fan engagement and digital content, beyond core statistics work. Longer-term, that trajectory can include leading data initiatives for major sporting events or contributing to forecasting systems used by fantasy sports and betting platforms.
Best Fit
This role suits people with genuine football knowledge who also care about statistical precision — not just entering numbers, but understanding what those numbers actually represent. A steady, accurate approach under pressure matters more here than speed alone.
Applications are open to candidates from the USA, Canada, UK, European Union, Australia, India, and other international markets.
How to Apply
Submit a resume outlining your background in sports statistics or data analysis, along with any experience specific to live event coverage. Selected candidates will move through an initial conversation, followed by a hands-on exercise reflecting the kind of data work this role handles regularly.
Frequently Asked Questions
This role covers live play-by-play data entry during NFL games, historical performance analysis, and real-time data quality checks, while collaborating with broadcast, engineering, and machine learning teams.
A Bachelor's degree in Sports Analytics, Statistics, Data Science, or a related field is required, along with 2 years of experience working with sports statistics or data analysis, ideally including live event coverage.
Yes, it's a location-independent role, though the work follows the fixed schedule of live broadcasts. Candidates from the USA, Canada, UK, European Union, Australia, India, and other international markets are encouraged to apply.
The role pays $131,326 annually.
The position offers a path toward senior statistician roles, data product lead positions, or sports analytics strategist tracks, along with mentorship from established sports data science professionals.
