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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 betting and data science. Understanding the industry will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the iGaming and sports modeling sectors. Attend relevant meetups or online webinars to connect with potential colleagues and learn more about the challenges they face.
✨Tip Number 3
Brush up on your Python skills, especially in relation to machine learning libraries like TensorFlow or PyTorch. Being able to discuss specific projects or algorithms you've worked on can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and problem-solving scenarios related to data science. This will help you feel more confident and ready to tackle any questions that come your way.
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 Python programming. Emphasise any relevant projects or roles in the iGaming industry, especially those related to sports modeling.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and innovation in the sports betting industry. Mention specific examples of how you've used data to solve complex problems and your enthusiasm for collaborating with teams.
Highlight Relevant Skills: In your application, clearly outline your skills in data preparation, feature engineering, and algorithm development. Use bullet points to make these stand out and ensure they align with the job description.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any grammatical errors or typos. A polished application reflects your attention to detail and professionalism, which is 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 Problem-Solving Ability
Since the role involves solving real-world problems, think of specific challenges you've faced in previous roles. Prepare to discuss how you approached these issues, the methods you used, and the results you achieved.
✨Highlight Your Collaboration Experience
This position requires working closely with a team. Share examples of how you've collaborated with data scientists, developers, or domain experts in the past. Emphasise your communication skills and how you contribute to a team environment.
✨Express Your Passion for Sports Modeling
Make sure to convey your enthusiasm for the sports betting industry and data science. Discuss any relevant projects or experiences that demonstrate your interest and commitment to making an impact in this field.
