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Senior Data Scientist - Sports Modeling

This Job is No Longer Active This position is no longer accepting applications

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 working with machine learning techniques.

Key Highlights
Develop robust datasets for machine learning workflows
Create and deploy high-performance algorithms and predictive models
Collaborate with a team of data scientists and developers
Key Responsibilities
Develop, structure, and maintain robust datasets tailored for machine learning workflows
Create and deploy high-performance algorithms and predictive models to support sports modeling initiatives
Collaborate with a team of data scientists, developers, and domain experts to solve real-world problems and optimize outcomes
Technical Skills Required
Python Machine learning Neural networks Matlab
Benefits & Perks
Competitive salary package
Opportunities for professional development and continuous learning
Access to private medical care via the company doctor
Nice to Have
Experience in the iGaming industry (B2B / B2C) - particularly in sports modeling

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.

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 modeling initiatives.
  • Collaborate with a team of data scientists, developers, and domain experts to solve real-world problems and optimize outcomes.

What You Bring:

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