Data Scientist (m/f/x)

Admiral Technologies GmbH; Wien; Hybrid; EUR 63,000 - 77,000; Full time

Benefits offered by this job

Birthday day off

Additional days off between holidays

Parking space / good public transport

Job summary

Admiral Technologies GmbH in Vienna, Austria, is seeking a Data Scientist (m/f/x) to advance robust ML models that drive measurable business value in sports betting.

You will own end-to-end development, deployment, and optimization, translating complex insights into actionable strategies and partnering with cross-functional teams to enable data-driven decisions in production.

Qualifications

• Completed higher education (FH, university degree, or equivalent) in a relevant field.
• Minimum 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.

Responsibilities

• 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.

Skills

Python

SQL

ML libraries

ML pipelines

Model deployment

AWS SageMaker

Education

Higher education degree

Tools

Cloud platforms

Job description

Start your tech career made in Austria as Data Scientist (m/f/x) . Develop yourself and with us the software solutions of tomorrow.

• 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 thatdrive 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

YOUR TECH-STACK

• 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

OUR FEATURES

State-of-the-Art Technologies

We use the latest technologies – innovation is a core part of our mission.

Modern Company

For you, this means flat hierarchies, interdisciplinary teams, and diverse opportunities to grow both personally and professionally.

Attractive working environment

Among other things, we offer a modern work environment with teleworking options, flexible working hours, ergonomic workstations, up-to‑date hardware, and individually tailored training opportunities. We also take into account the different life stages of our employees.

We value expertise and commitment

The minimum annual gross salary for this full-time role is € 70.000 gross/year. Depending on your qualifications and experience, we are prepared to offer a competitive overpayment.

OUR TOP-BENEFITS

• Additional day off on your birthday
• Additional days off for all-in contracts in between holidays (up to 5 days per year)
• Parking space or very good public transport connections