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- Tasks: Develop and maintain datasets, create algorithms, and collaborate with experts in sports modeling.
- Company: Join a pioneering company at the forefront of innovation in sports betting and AI.
- Benefits: Enjoy a competitive salary, professional development, and private medical care.
- Why this job: Make a real impact while working in a vibrant, collaborative culture that values your ideas.
- Qualifications: Experience in machine learning, Python programming, and a passion for impactful tools are essential.
- Other info: This role is based in beautiful Costa Rica, perfect for those seeking adventure!
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 gain insights into the company culture.
✨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 to discuss your experience with feature engineering and data preparation. Be ready to share examples of how you've tackled complex datasets and improved model performance in past projects.
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 working in a collaborative environment.
Highlight Relevant Skills: In your application, clearly outline your skills in data preparation, feature engineering, and algorithm development. Use bullet points to make this information easy to read and ensure it aligns with the job description.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. 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.
✨Demonstrate Your Problem-Solving Ability
Since the role involves solving real-world problems, think of specific challenges you've faced in previous roles. Be ready to walk through how you approached these issues and the outcomes of your solutions.
✨Highlight Your Collaboration Experience
This position requires working closely with a team. Share examples of how you've collaborated with others, particularly in cross-functional teams, and how you contributed to achieving common goals.
✨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 interests that demonstrate your commitment to this field and how you stay updated on industry trends.
