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- Tasks: Develop and maintain datasets, create algorithms, and collaborate with experts in sports modeling.
- Company: Join a pioneering company in the sports betting industry, focused on innovation and AI.
- Benefits: Enjoy a competitive salary, professional development, and private medical care.
- Why this job: Make a real impact in a vibrant, collaborative culture that values your ideas.
- Qualifications: Experience in machine learning, Python programming, and a passion for data science required.
- Other info: This role is based in beautiful Costa Rica—an exciting relocation opportunity!
The predicted salary is between 28800 - 48000 £ per year.
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:
- 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 modeling.
What You’ll Get:
- A key role in a company that’s pushing the boundaries of innovation in sports modeling 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 selected candidates for interview.
Sports Modeling Data Scientist (relocation to Costa Rica) employer: Exacta Solutions Ltd
Contact Detail:
Exacta Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sports Modeling Data Scientist (relocation to Costa Rica)
✨Tip Number 1
Familiarise yourself with the latest trends in sports modelling and machine learning. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the iGaming industry, especially those involved in sports modelling. Attend relevant meetups or online forums to connect with potential colleagues and gain insights that could be beneficial during your application process.
✨Tip Number 3
Prepare to showcase your technical skills through practical examples. Be ready to discuss specific projects where you applied machine learning techniques, particularly neural networks, and how they contributed to successful outcomes.
✨Tip Number 4
Research StudySmarter’s culture and values. Understanding our mission and how we operate will help you align your responses during the interview, showing that you’re not just a fit for the role but also for our team.
We think you need these skills to ace Sports Modeling Data Scientist (relocation to Costa Rica)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning techniques, particularly neural networks, and your proficiency in Python. Emphasise any relevant projects or roles that showcase your skills in data preparation and feature engineering.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for the sports betting industry and your desire to innovate within it. Mention specific examples of how you've solved complex problems in previous roles.
Showcase Relevant Experience: If you have experience in the iGaming industry, particularly in sports modeling, make sure to highlight this prominently. Discuss any specific projects or achievements that demonstrate your ability to build scalable tools and models.
Proofread and Edit: Before submitting your application, carefully proofread your CV and cover letter for any grammatical errors or typos. A polished application reflects your attention to detail and professionalism, which are crucial in the data science field.
How to prepare for a job interview at Exacta Solutions Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning techniques, especially neural networks. Bring examples of projects where you've successfully implemented these skills, and be ready to explain your thought process and the outcomes.
✨Demonstrate Your Python Proficiency
Since a strong background in Python is essential for this role, make sure to highlight your programming experience. You might even want to prepare for potential coding challenges or technical questions related to Python during the interview.
✨Understand the iGaming Industry
Familiarise yourself with the sports betting landscape and the specific challenges faced in the iGaming industry. Being able to discuss current trends and how they relate to data science will show your passion and commitment to the field.
✨Emphasise Collaboration and Communication
This role involves working closely with a team of data scientists and developers. Be ready to share examples of how you've successfully collaborated in the past, and demonstrate your ability to communicate complex ideas clearly, especially in English.
