Full-Time

Football Knowledge Engineer

Posted on 6/3/2024

Second Spectrum

Second Spectrum

201-500 employees

Sports analytics and augmented content provider

Data & Analytics
VR & AR
AI & Machine Learning
Consumer Goods

Junior

Manchester, UK

Required Skills
Python
R
SQL
Data Analysis
Requirements
  • Experience playing or coaching football at an amateur, competitive, or semi-professional level
  • Knowledge of football terms and concepts
  • Understanding of the current landscape and recent past of major professional football leagues
  • Understanding of data aggregation and manipulation concepts
  • Experience and comfort working with data-heavy technical tools like advanced spreadsheets, databasing/SQL, or statistical analysis programming languages such as Python or R
  • Ability to make time-critical judgment calls regarding data processing, engineering support, and customer satisfaction
  • Fluent in French and English, including football terminology. Fluency in Spanish or German is a strong advantage
  • Flexible schedule to work nights and weekends as needed to support live games on a rotational basis
Responsibilities
  • Have and apply a thorough technical understanding of all of Second Spectrum’s software and data products
  • Support technical customer requests and be proactive in triaging, understanding, and solving customer needs
  • Help clients navigate, interpret, and find specific data points using Second Spectrum’s offerings
  • Conceptualize, refine, and implement new data features in core data products and software
  • Generate data-driven content using Second Spectrum’s data and products
  • Work with engineering colleagues to plan and implement robust data quality metrics, methodology, and tools
  • Coordinate and train operational staff and specialists to execute manual tasks in support of machine learning labeling, live match operational tasks, and evaluation
  • Create and maintain internal and external facing documentation

At Second Spectrum, you will be at the forefront of sports technology, contributing to major innovations in how sports are played, broadcast, and experienced. The company leads in developing and applying machine learning and computer vision technologies in sports, directly impacting championship outcomes and enhancing fan engagement globally. This role offers a dynamic work environment where technical skills are honed, and creativity is encouraged, all while working alongside industry experts in a collaborative atmosphere.

Company Stage

M&A

Total Funding

$220.2M

Headquarters

Los Angeles, California

Founded

2013

Growth & Insights
Headcount

6 month growth

7%

1 year growth

11%

2 year growth

10%