More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business. Data accuracy is key within the Production team at Sportradar. In order to realize high-quality products, we are seeking applicants who will contribute to our successful international team of professional and highly motivated employees. The Sports Data Operator will be responsible to maintain the sports data collection, data entry, data verification, data monitoring, and guarantee the highest quality within the Production team. You will be based in Gera, Germany.

More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business. Make the Sportradar team smarter, faster, and stronger. Come work for and shape one of the fastest growing sports tech companies in the world. As a market innovator, Sportradar is valued at $3.5 billion, backed by prominent investors Ted Leonsis and Michael Jordan, and a partner to the top leagues and federations around the world including the NBA, MLB, FIFA and UEFA. We are a founder-led company with a fast-paced, growth-focused spirit that invites employees to pave their own path and make a personal impact in driving the company forward.

In a soccer game, fans get excited seeing a player sprint down the sideline during a counterattack or when a team is controlling the ball in the 18-yard box because those actions could lead to goals. However, it is difficult for human eyes to fully capture such fast movements, let alone predict goals. With machine learning (ML), we can incorporate more fine-grained information at the pixel level to develop a solution that predicts goals with high confidence before they happen. Sportradar, a leading real-time sports data provider that collects and analyzes sports data, and the Amazon ML Solutions Lab collaborated to develop a computer vision-based Soccer Goal Predictor to detect exciting moments that lead to goals, thereby increasing fan engagement and helping broadcasters provide viewers an enhanced experience. Most action recognition models are used to identify events when they occur, but Amazon ML Solutions Lab developed a novel computer vision-based Soccer Goal Predictor that can predict future soccer goals 2 seconds in advance of the event.

Adobe Analytics announced today that it will use its Adobe Sensei AI platform to help fans with their fantasy football teams during the 2019 NFL Season. Of all the technological advancements in the sports world, it can be argued that the most impactful innovations in the foreseeable future will be automated insights (AI) and machine learning (ML), changing the way front offices make player decisions and business operations departments make fan experience decisions. Data is also creeping into other facets of sports, especially with the steady march into the mainstream of gambling and daily fantasy sports. As applications of AI and ML expand into the sports world, a number of companies are looking to take advantage of its burgeoning impact. One of these companies, Adobe, has moved into the sports world and is, today, announcing a new initiative, just as the NFL season is beginning.