onsite
Data Scientist Junior or Senior - Football Radar
Data Scientist
Join a leading football analytics team to develop predictive models, analyze match data, and deliver actionable insights for betting partners and clubs using Python, machine learning, and cloud‑based data pipelines.
About the role
Key Responsibilities
- Design, build, and validate predictive models that forecast match outcomes, player performance, and betting odds.
- Extract, clean, and transform large-scale football datasets from proprietary sources and third‑party APIs.
- Develop automated data pipelines and deploy models on cloud platforms (e.g., AWS) to support real‑time analytics.
- Create clear visualizations and dashboards that communicate insights to non‑technical stakeholders.
- Collaborate with domain experts to integrate statistical findings with football knowledge and improve model accuracy.
Requirements
- Proficiency in Python (pandas, scikit‑learn, PyTorch/TensorFlow) and SQL for data manipulation and analysis.
- Strong foundation in statistical modeling, machine learning algorithms, and evaluation techniques.
- Experience building data pipelines and deploying models on cloud services such as AWS.
- Ability to translate complex analytical results into actionable recommendations for business users.
- Passion for football and familiarity with sports analytics is a plus.
Skills
pythonsqlmachine learningaws