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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 to Costa Rica.
- 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 is essential.
- Other info: Fluency in English and prior experience in sports modelling is a plus.
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. 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 and sports modelling sectors. Attend relevant conferences or webinars, and connect with industry experts on platforms like LinkedIn to gain insights and potentially get referrals.
✨Tip Number 3
Prepare to showcase your programming skills, especially in Python. Consider working on personal projects or contributing to open-source projects that highlight your ability to build machine learning models and handle data effectively.
✨Tip Number 4
Research the company culture and values of our client. Understanding their mission and how they approach innovation in the iGaming industry will help you align your answers during the interview and show that you're a great fit for their team.
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, and any relevant programming skills in Python. Emphasise your expertise in data shaping, preprocessing, and feature engineering to align with the job requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for sports modelling and data science. Mention specific projects or experiences that demonstrate your ability to build and maintain datasets and implement machine learning algorithms.
Showcase Relevant Experience: If you have prior experience in the iGaming or sports modelling industry, make sure to highlight this in your application. Provide examples of how you've collaborated with cross-functional teams to solve complex problems.
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, 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, so share experiences where you've successfully collaborated with others. Emphasise your communication skills and how you contribute to a team environment.
✨Research the Company and Industry
Familiarise yourself with the iGaming industry and the company's position within it. Understanding their products and innovations will help you tailor your answers and show genuine interest in the role.
