At a Glance
- Tasks: Join a team to enhance sports models using data science and machine learning.
- Company: Work with a leading innovator in the iGaming industry.
- Benefits: Enjoy competitive pay, professional growth, and a relocation package.
- Why this job: Be part of a dynamic team solving complex problems with cutting-edge technology.
- Qualifications: Experience in machine learning, programming (Python), and data engineering required.
- Other info: Relocation to beautiful Costa Rica for international candidates.
The predicted salary is between 36000 - 60000 Β£ per year.
Our client is seeking a Data Scientist with a strong focus on Sports Modelling to join their Research & Development team. You will play a key role in enhancing and developing state-of-the-art sports models. This position sits at the intersection of data science, engineering, software development, and mathematics, offering the opportunity to work on highly impactful machine learning solutions within the iGaming industry.
Key Responsibilities
- Build and maintain robust, high-quality datasets for machine learning models.
- Design and implement automated algorithms and advanced machine learning tools.
- Collaborate with a cross-functional team to solve complex problems and drive innovation.
Skills & Qualifications
- Solid experience with machine learning, particularly with neural networks.
- Strong programming skills, preferably in Python; knowledge of Matlab is a plus.
- Expertise in data shaping, preprocessing, and feature engineering.
- Excellent command of English, both written and spoken.
- Prior experience in the iGaming or sports modelling industry is a strong advantage.
Whatβs on Offer
- A chance to work with an innovative, forward-thinking company leading in its field.
- A dynamic and collaborative team environment.
- Competitive compensation package.
- Clear opportunities for professional development and career growth.
- Access to a Company Doctor.
- Relocation package available for international candidates.
Contact Detail:
Exacta Solutions Ltd Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Sports Modelling Data Scientist (relocation to Costa Rica)
β¨Tip Number 1
Familiarise yourself with the latest trends in sports modelling and machine learning. This will not only help you understand the industry better but also allow you to engage in meaningful conversations during interviews.
β¨Tip Number 2
Network with professionals in the iGaming and sports modelling sectors. Attend relevant conferences or webinars, and connect with people on platforms like LinkedIn to gain insights and potentially get referrals.
β¨Tip Number 3
Showcase your programming skills by working on personal projects or contributing to open-source initiatives. Highlight these experiences in discussions to demonstrate your practical knowledge and passion for data science.
β¨Tip Number 4
Prepare to discuss specific examples of how you've used machine learning to solve complex problems. Being able to articulate your thought process and results will set you apart from other candidates.
We think you need these skills to ace Sports Modelling Data Scientist (relocation to Costa Rica)
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience with machine learning, particularly neural networks. Include specific projects or roles that demonstrate your programming skills in Python and any relevant work in the iGaming or sports modelling industry.
Craft a Compelling Cover Letter: In your cover letter, express your passion for sports modelling and data science. Mention how your skills align with the job responsibilities and how you can contribute to the company's innovative projects.
Showcase Relevant Projects: If you have worked on any projects related to data shaping, preprocessing, or feature engineering, be sure to include these in your application. Provide links to your GitHub or portfolio if applicable, as this can set you apart from other candidates.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no grammatical errors and that your English is clear and professional, as excellent communication skills are essential for this role.
How to prepare for a job interview at Exacta Solutions Ltd
β¨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning, especially neural networks. Bring examples of projects you've worked on, particularly those involving Python and data preprocessing, to demonstrate your technical prowess.
β¨Understand the iGaming Industry
Familiarise yourself with the iGaming sector and its challenges. Being able to discuss current trends and how they relate to sports modelling will show your genuine interest and understanding of the field.
β¨Prepare for Problem-Solving Questions
Expect to face complex problem-solving scenarios during the interview. Practice articulating your thought process clearly, as collaboration with a cross-functional team is key in this role.
β¨Demonstrate Your Communication Skills
Since excellent command of English is required, practice explaining technical concepts in simple terms. This will help you convey your ideas effectively and show that you can work well within a team.