Data Scientist (m/f/d)

SportAtlas; Wien; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Career development plan

Online training videos

Global team and social events

Job summary

JobsinAustria is seeking a data science/quant role focusing on predictive modelling for betting markets. You will work with quants, developers, and traders to build, test, and improve models in Python and R.

The role requires a Master’s degree and strong analytics, with English fluency. Hybrid working is offered, with an emphasis on collaboration and innovation in a global team.

Qualifications

• Master’s degree or higher in Data Science, Statistics, Mathematics, Software Eng. or related field.
• Experience with predictive modelling and data analysis.
• Strong skills in R or Python.
• Advanced coding and analytical abilities.
• Fluent English and good communication skills.

Responsibilities

• Learn how predictive models operate in a betting context and build models independently.
• Support the team in maintaining and evolving the codebase.
• Analyze, evaluate and optimize existing predictive models as model co-owner.
• Research new methods for future applications and improvements.

Skills

Predictive modelling

Python

R

Machine learning

Data analysis

English

Team player

Education

Master's degree in Data Science / Mathematics / Statistics / Software Engineering

Tools

GitLab

Jira

Confluence

SQL

Job description

ABOUT US

Reporting to the Head of Quants you will be working closely with your colleagues in Quants but also various product owners, developers and traders company wide. Our department is responsible for creating predictive models for both pre-match and in-play betting markets in various sports. This typically requires cleaning up, visualizing, analyzing and interpreting relevant data, as well as implementing the created models in Java and testing them. Publishing and maintaining these Java libraries is also one of our responsibilities. Furthermore, we are providing various data analysis or generally math related tasks on demand.

The Challenge

• Learn how predictive models look like in a betting context and build models on your own.
• Support the team in maintaining the codebase.
• Analyze/evaluate/optimize existing predictive models as model co-owner.
• Research new methods for future applications.

Required

ABOUT YOU

• Master’s degree or equivalent/higher qualification in one of the following disciplines: Data Science, Statistics, Mathematics, Software Engineering or a closely related field.
• Experienced in predictive modelling, with a deep understanding of data analysis and modelling techniques such as GLMs, Time-Series Analysis, Bayesian Statistics, MCMC, neural networks, etc.
• Very strong skills in R or python.
• Advanced coding and analytical skills.
• Strong communication skills, fluency in English.
• Creative thinking, keen to further refine systems and processes.
• Highly self-motivated, leading by example and enthusiasm.
• Being a team player, with the ability to work with new teams immediately.
• Strong interpersonal skills.

Preferred

• Experience in object-oriented programming, preferably Java.
• Experience with Gitlab, Jira & Confluence.
• Experience with SQL.

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.
• Ability to shape your own workday and career via a clearly defined professional and personal development plan.
• Opportunity to develop yourself within an inspiring and fast-growing company with our Career framework possibilities.
• Vibrant and inclusive community , including Women in Tech and Pride groups which welcome all participants.
• Global Employee Assistance Programme.
• Calm and Reulay app (managing stress, maintaining focus, improving sleep, building resilience).
• Online training videos.
• Flexible working hours.

The minimum monthly salary for this position is according to the Collective Bargaining Agreement, overpayment will be considered depending on qualifications and working experience.

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 four days a week to build relationships, exchange ideas, and grow together.