We are seeking a skilled Data Scientist to develop cutting-edge models in the sports betting industry. The role involves creating and deploying high-performance algorithms and predictive models. The ideal candidate will have a strong background in Python programming and experience in the iGaming industry.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
We are looking for a skilled Data Scientist to help our client build cutting-edge models in the sports betting industry. This role sits at the crossroads of machine learning, software engineering, data science, and mathematics—perfect for someone who thrives on innovation and complex challenges.
The role is based in Costa Rica and relocation will be required.
What You’ll Be Doing:
- Develop, structure, and maintain robust datasets tailored for machine learning workflows.
- Create and deploy high-performance algorithms and predictive models to support our sports modelling initiatives.
- Collaborate with a team of data scientists, developers, and domain experts to solve real-world problems and optimise outcomes.
What You Bring:
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- Proven experience working with machine learning techniques, particularly neural networks.
- Strong background in Python programming (Matlab is a plus).
- Solid understanding of data preparation, including feature engineering and transformation.
- Professional fluency in English, both written and spoken.
- A passion for building smart, scalable tools that make an impact.
- Experience in the iGaming industry (B2B / B2C) - particularly in sports modelling.
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What You’ll Get:
- A key role in a company that’s pushing the boundaries of innovation in sports modelling and AI.
- A vibrant, team-oriented culture where ideas are welcomed and collaboration is valued.
- Competitive salary package.
- Opportunities for professional development and continuous learning.
- Access to private medical care via the company doctor.
If you're ready to make a real impact with your data science skills, we’d love to hear from you! Please share your CV in English.
We will contact the selected interview candidates.
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