ML Engineer - Integrity & Responsible Gaming Services (m/f/d)
ML Engineer - Integrity & Responsible Gaming Services (m/f/d)
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Job Description
ABOUT US:
Through our Integrity Services we safeguard the fairness of global sport. Our AI-powered Universal Fraud Detection System (UFDS AI) is at the heart of our market-leading technology to identify betting-related match manipulation enabling federations leagues and authorities to act with confidence. Together with our comprehensive suite of Prevention Detection and Action solutions we are helping to preserve trust in sport are also committed to supporting a safe and sustainable betting ecosystem.
Our Responsible Gaming Services use advanced technology data analysis and behavioral insights to help operators identify punters at risk of developing gambling-related harm. By detecting early warning signs and providing actionable tools we empower our partners to protect their customers and promote responsible play. At our core we combine innovation integrity and responsibility to shape the future of sports and betting in a way that benefits fans players and partners alike.
THE CHALLENGE:
As a ML Engineer at Sportradar you will work with world leading experts to design and develop data-driven predictive models and algorithms aimed at improving Sportradars products and services. You will explore large collections of sports and betting data focusing on the development of AI models to detect fraud in sport and players at risk. You will work closely with product owners and technical leads in our integrity services product vertical.
The successful candidate will be knowledgeable in machine learning and statistics be comfortable working with big datasets will understand methods for rigid validation of results and master different statistical analysis tools and scripting to develop and validate models and data analysis ideas.
Analyse and explore data using statistical analysis tools and scripting.
Develop machine learning or statistical predictive models for use in our products and services.
Rigorously validate methods models algorithms and hypotheses using back-testing on historical data and/or simulations.
Design and implement novel methods for data analysis tailored to our sports-related application domains.
Propose new ways of using data to improve our products and services.
Work closely with product owners and technical leads in our integrity services product vertical.
Present ideas and solutions to software developers and business stakeholders in a clear and understandable way.
YOUR PROFILE:
Bachelor of Computer Science / Engineering or related field; equivalent experience is also acceptable.
Good knowledge of programming in Python with demonstrable hands-on experience.
Demonstrated competency in the following areas: machine learning and/or statistics efficiently working with big data.
Good knowledge of SQL.
Bonus: Experience with development in Java.
Bonus: Hands-on experience with big data frameworks (Flink Spark) and/or cloud solutions (AWS S3 Redshift Athena).
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).
Ability to shape your own workday and career via a clearly defined professional and personal development plan.
Opportunity to work with senior leadership team and develop yourself within an inspiring and fast-growing company.
Vibrant and inclusive community including Women in Tech and Pride groups which welcome all participants.
Flexible working hours.
OUR RECRUITMENT PROCESS:
- Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations.
- First interview: First meeting with Hiring Team to dive into your experience skills and technical knowledge.
- Second Interview: With SVP AI - optional.
- Final 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 youre willing to learn and grow with us we invite you to join our team!
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
