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# Data Scientist

- **Company:** ADMIRAL Technologies
- **Location:** Wien, Austria (Remote available)
- **Experience:** Experienced
- **Salary:** €70,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Python (Programming Language), Machine Learning, Standard Sql, Azure Machine Learning, Software Systems, Scikit Learn, Machine Learning Operations
- **Published:** August 23, 2026
- **Apply:** https://www.xing.com/jobs/wien-data-scientist-157305069

## About the Role

* Completed higher education (FH, university degree, or equivalent) in a relevant field
 * Minimum of 3 years of professional experience in Data Science, preferably in the sports betting industry
 * Strong proficiency in Python including key ML libraries as well as SQL
 * Experience with ML pipelines, model deployment, and operationalization
 * Strong analytical and communication skills with the ability to translate data-driven insights into actionable recommendations
 * Experience with AWS SageMaker or a comparable cloud ML platform is a plus

## Description

We develop & operate entertainment software. As the technology arm of the ADMIRAL Group, we are passionate about creating an innovative product experience for our customers and becoming one of the leading technology providers in the sports betting sector, both nationally and internationally. Working at ADMIRAL Technologies means being part of an internationally successful group and still experiencing the flexibility and spirit of a start-up. Develop yourself and with us the software solutions of tomorrow! Learn more here: www.admiral-technologies.at
ADMIRAL Technologies - A clear victory for your future! #successpreprogrammed
Aufgaben

 * End-to-end development, deployment, and optimization of robust Machine Learning models that generate measurable business impact
 * Identification of new opportunities through advanced data analysis and translation of complex insights into actionable strategies that drive sports betting business value
 * Acting as a trusted partner to cross-functional stakeholders by enabling data-driven decision-making and delivering innovative solutions into production
 * Continuous evaluation, adoption, and application of emerging technologies, statistical methodologies, and Machine Learning algorithms


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