Sportradar

Company Description We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. 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. Job Description ABOUT US: As a Data Scientist in Sportradar's AI unit, you will work withing an established, high performing team of experts on the design, development and deployment of predictive models and algorithms powering Spotradar’s products. You will leverage Sportradar's extensive sports datasets, betting transaction data and user interaction data collected through Sportradar's products and services reaching millions of end-users across the globe. The position will be focused on the development of AI and advanced analytics solutions for sportsbook risk management and liquidity driven odds trading, collaborating closely with product owners and technical leads in our Managed Trading Services and Odds Services product domains. Sportradar is a global leader in understanding and leveraging the power of sports data for hundreds of business customers around the world, in turn entertaining millions of sports enthusiasts. THE CHALLENGE: - Analyse and explore data using statistical analysis tools and scripting. - Develop machine learning or statistical models for use in our sportsbook risk management and odds trading products and services. - Rigorously validate methods, models, algorithms and hypotheses using back-testing on historical data and/or simulations. - Bring models into production leveraging our AI platform, maintaining ownership of the AI solution throughout the model development lifecycle, from modelling to production deployment, monitoring and continuous model improvement. - Design and implement novel methods for data analysis, tailored to our sports-related application domains and propose new ways of using data to improve our products and services. - Present ideas and solutions to software developers and business stakeholders in a clear and understandable way. ABOUT YOU: - The successful candidate will be knowledgeable in machine learning and statistics . - Strong programming skills and software development experience needed to productize low latency streaming analytics solutions are a must. - Experience with risk management and portfolio optimization in financial, gaming or sports betting contexts is a plus. - Experience in data science, statistical modelling, applied mathematics and/or software engineering . - Profficiency with advanced querying of large analytical databases using SQL . - Programming experience is a must . - Experience with Python, R or similar statistical and/or machine learning software/toolkits. - Bonus : Experience working in Java. - Bonus : Hands-on experience with real-time streaming analytics frameworks such as Apache Flink and streaming technologies such as Apache Kafka. - Bonus : Experience working with Mac/Linux environments. - Bachelor of Science in Mathematics / Statistics, Computer Science / Engineering, or related field; equivalent experience acceptable. - Fluent in English (written and spoken). - Autonomous, rigorous, creative and a team player . OUR OFFER : - A  collaborative environment  with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social events and teambuilding. - Flexibility  to manage your workday and tasks with autonomy. - A balance of structure and  autonomy  to tackle your daily tasks. - Vibrant and inclusive community, including  Women in Tech  and  Pride groups  which welcome all participants. - Global Employee Assistance Programme . - Calm and Reulay app  (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience). - Online training videos . - Flexible working hours . OUR RECRUITMENT PROCESS: - Initial Screening : A quick chat with our Talent Acquisition Partner to understand your background and expectations. - Technical Assessment : A short task to showcase your technical skills. - Technical Interview : Meet with the Technical team and Hiring Manager to dive into your solution, as also discuss team fit. - Onsite Interview:  Meet with the local team and take a tour of our office for a final meet-and-greet. - Finals Steps:  Receive feedback and, if successful, an offer! Additional Information At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!

Company Description We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. 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. Job Description ABOUT US: We are looking for a  Machine Learning Engineer  to join  Sportradar's AI unit , an established, high performing team of AI experts working on the design, development and deployment of AI models that deepen our understanding of sports and enable new sports technology products for sports performance, betting and media. The position will focus on the research and development of generative models of sports gameplay and predictive models of player actions and performance. You will collaborate closely with product owners and technical leads to ensure these models translate into real product impact across diverse areas such as coaching, sports betting, augmented streaming and sports virtualization. Sportradar is a global leader in understanding and leveraging the power of sports data for hundreds of business customers around the world, in turn entertaining millions of sports fans. THE CHALLENGE: - Analyse, explore and visualize datasets  using statistical analysis and scripting, including analysis and preparation of large-scale body pose tracking data collections. - Develop and train machine learning models , specializing in deep learning methods for sequence modelling, including autoregressive or diffusion-based generative models. - Design, train, and iterate  on representation learning solutions optimized for modelling of sports data with LLM-like models. - Develop data processing pipelines  adopted for training models from scratch (not only fine-tuning), validation, and inferencing. - Rigorously validate  methods, models, algorithms, and hypotheses using back-testing on historical data and/or simulations. - Optimize models  for efficient GPU-accelerated inferencing at scale. - Bring models into production  leveraging internal AI platform, maintaining ownership of the AI solution throughout the model development lifecycle, from modelling to production deployment, monitoring and continuous model improvement. - Collaborate  closely with stakeholders to connect model outputs to product experiences (e.g., real-time visualisation, coaching workflows, simulated reality), balancing research progress with practical delivery constraints. - Present ideas and solutions  to software developers and business stakeholders in a clear and understandable way. YOUR PROFILE: - The successful candidate will be knowledgeable in  modern machine learning techniques  with strong fundamentals in  deep learning  for  sequence modeling  and  generative AI  (e.g., transformers, autoregressive modeling, representation learning) - Strong programming skills  and software development experience to build reliable training pipelines, scalable data processing, and production-grade inference services are a must. - Hands-on experience  working with  spatiotemporal data  (tracking/trajectory data, time-series, or sensor-like modalities) and building models that learn from complex structured inputs is highly valued. - Proficiency with Python  and common  ML tooling , like PyTorch and PyTorch Lightning, including distributed training and experiment tracking. - Solid understanding of data engineering basics  (efficient dataset construction, feature pipelines, validation, reproducibility). - Experience working with  cloud services  (AWS) and  container-based development  (using Docker, Singularity, etc.) - Ability to properly use JIRA, plan and structure work in efficient and clear manner. - Bonus : Experience with computer vision / pose estimation pipelines or working directly with pose-tracking outputs and skeleton-based modeling. - Bachelor of Science in Computer Science / Engineering, Mathematics / Statistics, or related field; equivalent experience acceptable. - Must be comfortable with using AI coding tools and agentic technologies. - Fluent in English (written and spoken). - Autonomous, rigorous, creative and a team player . OUR OFFER: - A  collaborative environment  with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social events and teambuilding. - Flexibility  to manage your workday and tasks with autonomy. - A balance of structure and autonomy  to tackle your daily tasks. - Vibrant and inclusive community , including  Women in Tech  and  Pride groups  which welcome all participants. - Global Employee Assistance Programme . - Calm and Reulay app  (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience). - Online training videos . - Flexible working hours . OUR RECRUITMENT PROCESS: - Initial Screening : A quick chat with our Talent Acquisition Partner to understand your background and expectations. - Technical Assessment : A short (home) task to showcase your technical skills. - Technical Interview : Meet with the Technical team and later with the Hiring Manager to dive into your solution, as also discuss team fit. - Onsite Interview : Meet with the local team and take a tour of our office for a final meet-and-greet. - Finals Steps : Receive feedback and, if successful, an offer! Additional Information At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!

We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. 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. Senior Software Engineer Interested in Artificial Intelligence, Computer Vision, Deep Learning and other modern technologies? Then the Automated Content team within Sportradar is the right fit for you. We are enhancing the sports experience for fans, athletes, and teams across the globe through world-class AI solutions and are committed to advancing the state of the art of Sport through continuous innovation with a specialized and distributed team focused on research and development in areas such as computer vision, machine learning, deep learning, data science and beyond. We are on a mission to automate sports content creation - the data and video – that feeds products and services we deliver to our partners. The possibilities to revolutionize the world of sport are vast, and we are only at the beginning of our journey. Our cutting-edge technologies will revolutionize the way individuals interact with and participate in sports. Our objective is to create innovative hardware and software solutions leading to automated viewing experiences, real-time statistics, and event forecasting. By doing so, we are enhancing the lives of coaches, athletes, and fans by developing products that cater to their evolving needs and requirements, as well as enabling an experience where people can engage with sport in new and meaningful ways. We seek a talented Senior Software Engineer to join the eSports team in Vienna: a diverse, highly skilled, and enthusiastic team, part of the broader Automated Content Unit. About the role As a Senior Software Engineer, you will play a key role in designing, developing, and maintaining software solutions that empower the Computer Vision Teams (also part of the Automated Content Unit) to more easily and reliably train, evaluate and deploy complex computer vision and AI systems in production. You will develop software solutions for these systems, including databases, APIs, tools, and services. You will use your software engineering expertise to propose and implement software solutions, based on requirements, that will help the team deliver quickly and efficiently. Responsibilities - Design, build, test, deploy and maintain libraries, components and backend services for our computer vision applications, including data processing pipelines, machine learning model training infrastructure, and API endpoints - Participate in analyzing business requirements and designing new functionalities, breaking down complex and abstract requirements into smaller concrete components that will help the team deliver quickly and efficiently - Research new technologies and methodologies to address technical issues - Contribute to the continuous improvement of existing software solutions The challenge - Design, build, test, deploy and maintain services hosted in the cloud, that are part of a larger system - Improve the reliability and efficiency of our stack - Help reducing the time-to-market of our computer vision solutions - Write clean, scalable, documented, and understandable code - Participate in code review processes - Build reusable code libraries - Design, implement, and extend APIs Your skills - Proficiency in Python. Experience with other languages will be considered a plus - Strong experience in managing larger projects from their conception to their maturity - Expertise in CI/CD pipelines for software release lifecycle - Experience with frameworks for web APIs (Flask, FastAPI, ...), API specifications (OpenAPI, gRPC) - Familiarity of Cloud Service Providers (especially AWS) - Solid knowledge of containerization technologies and processes - Experience with databases (relational and non-relational) - Knowledge of lifecycle of ML/DL applications - Excellent communication skills - Ability to work independently and as part of a team - Strong organizational and problem-solving skills The minimum monthly salary for this position is according to the Collective Bargaining Agreement. Overpayment will be considered depending on qualifications and working experience. At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!

We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. 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. ABOUT US Ad:s is a datadriven marketing and sponsorship solution designed to help deliver significant efficiency improvements across marketing investments. The team develops and provides fully customisable, purposebuilt proprietary tools and services tailored to the marketing needs of sportsbooks and publishers. Through a broad sales network, strong relationships, and extensive global infrastructure, the team also enables sponsorship opportunities for bookmakers. THE CHALLENGE We are looking for a highly skilled Senior Data Scientist (m/f/d) with excellent communication skills who will work alongside a team of talented analysts and engineers, using modern technologies and methods to further develop and expand our Audience capabilities and reporting suite. You will support stakeholders as a strategic compass - helping them navigate audience growth, segmentation, activation, and performance through actionable insights. You will join a growing team shaping Sportradar’s digital advertising platform, with a strong focus on Audience strategy and expansion. Operating within a selforganized and agile analytics team, you will play an active role in building and scaling data products that power clientfacing advertising services, working with cuttingedge technologies and highly motivated colleagues. Key Responsibilities - Interpret audience and campaign data to guide strategic decisions and deliver clear, compelling insights for advertisers and stakeholders. - Design, build, and maintain scalable audience data models supporting segmentation, activation, and measurement use cases. - Participate in the development of datadriven, intelligent, and scalable systems with a focus on quality, observability, and security. - Evaluate and monitor existing data sources and audiencerelated products, ensuring data integrity and reliability through regular QA checks. - Collaborate with sales, tech, product, and ML teams to design, implement, and refine advanced audience dashboards and activation frameworks. - Drive evaluation, evolution, and delivery of audiencefocused solutions, supporting ML and AI initiatives that create measurable value for clients. ABOUT YOU Required - Minimum 3+ years of experience in Analytics Engineering, Data Engineering, or a related field. - Excellent SQL and Python skills. - Experience with Infrastructure as Code (Terraform). - Strong proficiency in building ETL pipelines, ideally with PySpark. - Solid experience in logical and physical data modelling for audience or behavioural datasets. - Proficiency with Git or similar versioncontrol tools. - Experience with cloudbased services, preferably AWS. - High attention to detail and strong commitment to data quality. - Strong communication skills and the ability to partner effectively with stakeholders. - Fluent in English. Preferred - Experience with datavisualisation tools and building stakeholderfacing dashboards. - Experience in AdTech and audienceactivation ecosystems. - Experience with ML technologies and production ML pipelines. - Knowledge of testing strategies such as TDD. - Experience with identity graphs, segmentation frameworks, or CDPs. - Experience creating and maintaining CI/CD workflows. OUR OFFER - A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social events and teambuilding. - Flexibility to manage your workday and tasks with autonomy. - A balance of structure and autonomy to tackle your daily tasks. - Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants. - Global Employee Assistance Programme. - Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience). - Online training videos. - Flexible working hours. While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation - both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a hybrid model, with team members working in the office three days a week to build relationships, exchange ideas, and grow together. OUR RECRUITMENT PROCESS Initial Conversation A discussion with our Talent Acquisition Partner to learn more about your background, experience, and expectations. Technical Interview A conversation with members of the Data team focused on realworld problem solving, production considerations, and your past project work. TakeHome Case Study A practical business case reflecting typical challenges in this role, including analysis of a dataset and a short summary of your findings. Case Presentation & Collaboration Session You will present your solution, engage in a deeper discussion with the team, and participate in a collaborative paircoding exercise. Final Conversation A final discussion centred on team fit, collaboration style, and any remaining questions. An onsite visit may be included where relevant. The minimum monthly salary for this position is according to the Collective Bargaining Agreement. Overpayment will be considered depending on qualifications and working experience. At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!