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- Tasks: Join our team to enhance sports models and develop machine learning solutions.
- 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, Python programming, and data engineering is essential.
- Other info: Relocation to beautiful Costa Rica awaits you!
The predicted salary is between 36000 - 60000 £ 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.
What’s 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.
Sports Modelling 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 Modelling Data Scientist (relocation to Costa Rica)
✨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.
✨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.
✨Tip Number 3
Showcase your programming skills by working on personal projects or contributing to open-source projects related to machine learning. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and problem-solving scenarios that are common in data science roles. This will boost your confidence and improve your chances of impressing the interviewers.
We think you need these skills to ace Sports Modelling Data Scientist (relocation to Costa Rica)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning, particularly neural networks. Emphasise any relevant projects or roles that showcase your programming skills in Python and your expertise in data shaping and preprocessing.
Craft a Compelling Cover Letter: In your cover letter, express your passion for sports modelling and the iGaming industry. Mention specific examples of how your skills align with the job responsibilities, such as building datasets or implementing algorithms, to demonstrate your fit for the role.
Showcase Relevant Experience: If you have prior experience in the iGaming or sports modelling industry, make sure to highlight this prominently in your application. Discuss any specific projects or achievements that relate directly to the key responsibilities outlined in the job description.
Proofread Your Application: Before submitting your application, take the time to proofread it thoroughly. Check for any grammatical errors or typos, and ensure 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
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning, particularly neural networks. Bring examples of projects where you've implemented these technologies, and be ready to explain your thought process and the outcomes.
✨Demonstrate Problem-Solving Abilities
Since the role involves solving complex problems, think of specific instances where you've tackled challenges in data science or sports modelling. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Highlight Collaboration Experience
This position requires working with a cross-functional team. Share experiences where you've successfully collaborated with others, especially in diverse teams, and how you contributed to achieving common goals.
✨Prepare for Technical Questions
Expect technical questions related to data shaping, preprocessing, and feature engineering. Brush up on your Python skills and be ready to solve coding problems or discuss algorithms during the interview.
