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Machine Learning Engineer (MTS) @ Sportradar d.o.o.

Opis delovnega mesta

As a Machine Learning Engineer in Sportradar's AI unit, you will work within 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.

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.

Od kandidatov zahtevamo

- At least 3 years of professional experience on a similar field or position (Data science, Machine Learning etc.).
- Good knowledge of machine learning and statistics.
- Strong programming skills and software development experience needed to productize low latency streaming analytics solutions are a must (Java/C#/C++ and Python).
- 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.
- Proficiency with advanced querying of large analytical databases using SQL.
- 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.

Kandidatom ponujamo

- 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, develop yourself and build your career within an inspiring and fast-growing company and digital sports environment.
- Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants.
- Hybrid work model.
-New office with several additional benefits.


OUR RECRUITMENT PROCESS:
- Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations.
- Two Interviews with the hiring team: Meet with the Technical team and Hiring Manager to dive into your solution and your expertise, as also discuss team fit.
- Final Steps: Receive feedback and, if successful, an offer!

We keep it simple and aim to wrap up the process within 3 weeks.

Kontakt

https://smrtr.io/pfBbL
s.gabor@sportradar.com

Klasifikacija delovnega mesta

Lokacija:
Ljubljana
Plačilo:
3.000 - 6.000 gross with bonus 5% - 10% (depends on experience) EUR / mesec
Delovni čas:
redna zaposlitev

 

Zahtevana znanja

Python
napredno znanje
Machine Learning
napredno znanje
R
začetnik
SQL
napredno znanje
Java/C/C++/C#
napredno znanje
Data Science
napredno znanje

O podjetju

Sportradar is a global leader in understanding and leveraging the power of sports data and digital content for its clients around the world. We provide cutting-edge solutions and services to media companies, bookmakers, sports federations and state authorities.

We are a truly international business employing over 3,700 people in more than 30 locations around the world. Our rapid growth has been driven by technological innovation alongside an understanding of our clients' business needs. It is our commitment to excellent service, quality and reliability that makes us the trusted partner of more than 1,700 companies in over 120 countries.

Zakaj bi želel delati za vas

You will have an opportunity to work for and shape one of the fastest growing sports data companies in the world.

We cultivate employee communication and team spirit. Our people are not only great engineers but first and most of all amazing people with some of the most amazing hobbies making them interesting people outside of the office setting as well. We have a licensed pilot, guitarists, drummers, singers - yes our own band, two office dogs in our ranks.

As a market innovator, Sportradar is valued at $2 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.

If you think you're up to the challenge, come and help us to grow, innovate and develop! #maketheteam

Programerski vprašalnik