At a Glance
- Tasks: Join our team as a Data Scientist focusing on Sports Modelling and enhance cutting-edge sports models.
- Company: Exacta Solutions Ltd is a leading innovator in the iGaming industry, pushing boundaries with data science.
- Benefits: Enjoy competitive pay, professional growth opportunities, and a relocation package to beautiful Costa Rica!
- Why this job: Work on impactful machine learning solutions in a dynamic, collaborative environment that values innovation.
- Qualifications: Experience in machine learning, strong Python skills, and a background in iGaming or sports modelling preferred.
- Other info: Relocation assistance available for international candidates looking to embrace a new adventure.
The predicted salary is between 28800 - 48000 Β£ per year.
About the Job
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.
Sports Modelling Data Scientist (relocation to Costa Rica) employer: Job Traffic
Contact Detail:
Job Traffic 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 increase your visibility and learn about potential job openings.
β¨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 and demonstrate your passion for the field.
β¨Tip Number 4
Prepare for technical interviews by practising coding challenges and problem-solving scenarios that are specific to data science and machine learning. 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 Modelling Data Scientist (relocation to Costa Rica)
Some tips for your application π«‘
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Sports Modelling Data Scientist position. Tailor your application to highlight relevant experience in machine learning and sports modelling.
Highlight Relevant Skills: In your CV and cover letter, emphasise your programming skills, particularly in Python, and any experience with neural networks. Mention specific projects or achievements that demonstrate your expertise in data shaping and feature engineering.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for sports modelling and the iGaming industry. Use this opportunity to explain why you want to relocate to Costa Rica and how you can contribute to the company's success.
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 Job Traffic
β¨Showcase Your Technical Skills
Make sure to highlight your experience with machine learning, especially neural networks. Be prepared to discuss specific projects where you've implemented these skills, and if possible, bring examples of your work or code snippets.
β¨Demonstrate Problem-Solving Abilities
Since the role involves solving complex problems, be ready to discuss how you've approached challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your analytical thinking.
β¨Familiarise Yourself with the iGaming Industry
Having prior experience in the iGaming or sports modelling industry is a strong advantage. Research the latest trends and technologies in this field, and be prepared to discuss how they relate to the role you're applying for.
β¨Prepare for Collaborative Scenarios
This position requires collaboration with a cross-functional team. Think of examples where you've successfully worked in a team setting, and be ready to discuss how you can contribute to a dynamic and innovative environment.