12 data scientist jobs found

Your Role We’re hiring a Senior Data Scientist to join our Athlete Performance team in London. You’ll be partnering with world class sports scientists and engineering teams to build algorithms and derive insights from wearable sensor, optical tracking and GPS data that directly impact how athletes train and compete, from local high schools to professional teams. For this role, we're currently considering candidates who live within a commuting distance of our offices in London or Barcelona.  As a Senior Data Scientist, you’ll: Create and improve algorithms.  You’ll use your expertise in signal processing to run mathematical and statistical operations on raw sensor and GPS data. Your work will help us derive high-value metrics around human movement classification and physical load quantification , turning raw data into actionable insights for our users. Deliver insights at scale.  You’ll build and deploy models that...

Start Date: Immediate At Football Radar, our mission is to be the world-leading provider of football analytics. For over a decade, we have combined predictive modelling techniques with expert analysis and our proprietary datasets to deliver insights that drive success for our betting clients and football clubs. By combining the agility of a start-up with the stability of an established business, we’ve created an environment where innovation and long-term success go hand in hand. About The Role As a Data Scientist on our Prediction Team, you will use our extensive dataset to enhance existing predictive models, research new methods, and turn your insights into production-ready solutions.  Your research will involve a mix of well-executed analyses and innovative modelling to solve unique challenges in football analytics, where your work will directly enhance our predictions and decision-making processes To achieve this, you will have the freedom to explore and...

Graduate Data Scientist   At Football Radar, our mission is to be the world-leading provider of football analytics. For over a decade, we have combined predictive modelling techniques with expert analysis and our proprietary datasets to deliver insights that drive success for our betting clients and football clubs. By combining the agility of a start-up with the stability of an established business, we’ve created an environment where innovation and long-term success go hand in hand. About The Role As a Graduate Data Scientist on our Prediction Team, you will use our extensive dataset to enhance existing predictive models, research new methods, and turn your insights into production-ready solutions. Your research will involve a mix of well-executed analyses and innovative modelling to solve unique challenges in football analytics, where your work will directly enhance our predictions and decision-making processes. To achieve this, you will have the...

U.S. Soccer Overview   The U.S. Soccer Federation exists in service to soccer. Our aim is to ignite a national passion for the game. Because we believe that soccer is more than a sport; it is a force for good.    We understand the importance and the power of teamwork, on and off the pitch. That is why we work closely with our Federation partners and members, to inspire, support and guide every level of the game: from the grassroots to the National Teams. We want to bring soccer into every home and every community, right across America. Because we believe that soccer can transform lives like no other sport. Soccer can represent the best of U.S.    U.S. Soccer is in a period of significant growth, with ambitious plans for U.S. Soccer in the near and far future. We are, therefore, looking for dynamic servant leaders to join us on this journey: in service to soccer. Applicants must be able to demonstrate visionary leadership, analytical...

Overview Major League Soccer’s Strategy and Business Intelligence group is tasked with supporting strategic decision making and resource allocation across the League – with a focus on driving fan growth, revenue capture, and operating efficiencies – by providing impactful data driven insights, analysis, and recommendations.    This individual contributor position requires a curious, analytical, and collaborative mindset — someone who brings structure to complexity and thrives at the intersection of data science and marketing impact.   This role applies advanced analytics and modeling to fan and marketing data — including the League’s Fan Genome — to uncover engagement trends, build predictive attributes, and inform marketing strategy across League and Club initiatives.   The ideal candidate is a hands-on data scientist with a strong understanding of marketing performance, audience segmentation, and...

Company Description  Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition.  We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.   Job Description Swish Analytics is hiring Soccer Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data...

Company Description  Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition.  We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.   Job Description Swish Analytics is hiring Soccer Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data...

Company Information For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer. Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations. If you want to be challenged to up your game and make a...

We govern the beautiful game and ensure it's run with transparency and integrity. Join our team in Miami and support us on our mission. THE POSITION These are your key tasks: Support in the development and maintenance of an economic player‑valuation model.  Conduct advanced data science projects (web scraping, NLP, machine learning, predictive modelling) to support multiple business units.  Build and maintain interactive dashboards in Power BI for operational tasks and to analyse, monitor and refine internal processes.  Support business users in implementing analyses for reports, publications and internal research projects.  Design, implement and maintain ETL pipelines for various structured and semi-structured data sources.  Build and maintain data models used for Power BI reports. Actively collaborate with technical and non‑technical stakeholders, translating business requirements into...

Job Title: Sporting Data Science Intern   Who CITY is: St. Louis CITY is more than just the newest local MLS soccer team, we have quickly become the heartbeat of St. Louis and are leading the frontier of an emerging cultural renaissance. Join our growing family of 500+ visionaries in a fun and fast-paced work environment that provides unmatched potential for new ideas, personal growth, and immediate impact.   Who you are: CITY provides a progressive and supportive workplace that lets YOU be YOU.  We value unique experiences and perspectives, and we hire employees who leverage their differences to add value.  Feel the impact of your ideas come to life as you join in the thunderous roar of 22,500 impassioned fans at our state-of-the art facility.   What CITY does: Join us today in the mission of uniting the St. Louis Region and redefining what it means to be a soccer team.   Position Summary St. Louis CITY SC is...

About the Company Football Radar have been successfully developing statistical models and analytical frameworks for football for over 10 years. We provide advice to football clubs, and we are also a leading provider of betting advice, where we have helped our clients achieve outstanding returns for over 10 years. We see ourselves as an interesting mix of start-up and established business, with the agility of the former and the security of the latter. About The Role At Football Radar we have two small data science teams. A prediction team, focused on the betting and prediction side of our business; and a club consultancy team, developing models and products to help decision making within football clubs. Your role as a data engineer will be to help support these teams by taking ownership of the data pipelines to ensure data is up-to-date, reliable, and easily accessible.  In practice you will be working on things like: Automating pipelines for...

Company Information For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer. Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations. If you want to be challenged to up your game and make a...