We are currently recruiting a Junior Data Scientist to work in the Prediction team. In this role, you will:

• Design, implement, and optimize cutting-edge algorithms alongside a more experienced team member. As a junior team member, you are expected to have first hand experience in deep learning applied to Time Series Data, with a demonstrated interest in the underlying mechanisms of neural networks and prior hands-on experience in training them. Your curiosity and eagerness to grow will be strong assets for this position.

• Ensure projects conform to best practices for implementing, maintaining, and improving predictive models throughout their life cycles.

• Continually enhance your own and your colleagues’ knowledge of football/sport and data science through documentation, reading, research, and discussion with your teammates and the rest of the front office.

• Collaborate with football subject matter experts in scouting, machine learning, decision science, and more, integrating their expertise into innovative models

• This position offers a rare balance between advanced R&D and real-world application. You’ll have the freedom to explore and develop innovative solutions, knowing that your work will quickly transition from research to production, directly impacting sports teams and organizations worldwide.

• Graduate degree/PhD in engineering, computer science, mathematics or related field.

• Comfortable with Python usage in machine learning, deep learning and/or computer vision.

• Experience of data manipulation and visualiZation.

• Excellent communication skills in English and in French

• Interest in solving real-world problems: you love connecting and tweaking things to solve hard problems.

• Great interpersonal skills and a strong team-oriented mindset.

• Strong knowledge of football

When you submit we would like you to answer in an additional document the following question (it is in the form):

We have been asked to identify the best wingers in football. What models would you build to answer that question, and how would you apply those models to decision-making? (250 word limit)

Tip: There’s no defined right or wrong answer. Responses are used to get some insight into how you approach problem solving and football in general.

Additional Process

• (optional) 15-20 minutes introduction call

• Interview - open discussion around knowledge and experiences, Q&A session on a practical scenario

• Interview - technical homework

• (Optional) - personal interview : motivations, expectations, conditions