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Sports Data Collector (Football) - Sørvágur, Faroe Islands.

Data Analytics & BI

Sports Data Collector (Football) - Sørvágur, Faroe Islands: our view in 3 lines...

  • The Role:This role is for someone who collects real-time football data at live sporting events for a sports technology company.
  • The Person:The person will attend live sports events and record accurate, real-time game data such as scores, plays and key events using mobile technology.
  • Requirements:The advert asks for strong knowledge of the sport, being reliable, detail-oriented and organized, availability on evenings and weekends, and being 18+ years old.

About the role

 

Sports Data Collector (Sports Scout)

Independent Contractor | Paid per game

*Please note: All CVs are required to be submitted in English.

Love sports? Turn your passion into paid experience.

Genius Sports is a global sports technology company powering official live data for the world’s biggest leagues, federations, and media platforms.

We’re recruiting Sports Data Collector (Sports Scout) to attend live sporting events and collect real-time, play-by-play data using our proprietary software.

What you’ll do

  • Attend live sports events in your local area from Premier League and lower profile competitions

  • Record accurate, real-time game data (scores, plays, key events)

  • Use mobile technology in a fast-paced, live environment

What we’re looking for

  • Strong knowledge of the sport

  • Reliable, detail-oriented, and organized

  • Availability on evenings and weekends

  • 18+ years old

What we offer

  • Fixed payment per game - 95 €

  • Flexible, game-based work

  • Training and testing provided

  • Opportunity to increase earnings based on performance

Interested?
Tell us a bit about yourself and we’ll be in touch.

Learn more about our Statisticians Network:
https://www.geniussports.com/careers/statisticians-network/

Genius Sports is an equal opportunities employer.

 

Published September 24, 2026
Location Statistician Network, United Kingdom
Category Data Analytics & BI