To support PandaScore’s growth, we are looking for a Data Scientist odds (also called Quant) to join our team!

As PandaScore’s Data Scientist odds, you will be responsible for building and improving our current prediction models by using mathematical and statistical models as well as machine learning algorithms. You’ll also be involved in R&D projects using both machine learning expertise and project management skills.

If you’re interested in combining esport & AI and want to use state of the art algorithm to process real time data, then this is the place to be.

Your missions 🏀

• Create statistical and machine learning models for different esport predictions
• Integrate your brand new models iinto production in our odds engine and maintain it
• Implement innovative algorithms to allow our trading team to adjust the odds while keeping a consistent pricing
• Research new approaches to optimize the performance of all models and data science processes
• Build the tools you will need in order to achieve your goals
• Work in our strong and diverse Data Science team, in which you will take full ownership of your work

We are primarily looking for candidates who are eager to participate in the company’s evolution and take part in the growing of the esport ecosystem.

What’s in it for you 🎁

• If you’re Paris based: Central office (Ⓜ️Bonne Nouvelle) with a gaming room (PS4, PCs, Switch) with a remote friendly approach
• Possibility to be based remotely
• Other usual perks (health insurance, transportation participation, Swile card)
• Video game credits 🤘
• Work in a fast-paced, high-growth industry with innovation as our motto
• At Pandascore we want everyone to be involved in the success of the company and we reward both individual and collective efforts by offering company Stock Options (French BSPCEs)

What do you need? 💪

• Experience in modeling, probability and statistics -> time series predictions, bayesian inference, machine learning among other hot topics
• Ideally, you have an experience working with quantitative finance modelling or at a similar role or exposure to a trading department where modelling/quant data research has been practised
• 2+ years of experience as a data scientist
• PhD or Master in statistics, data science, computer science, mathematics or a related field
• Highly proficient in Python and the main data science libraries
• Interest in esport

During the different discussions, you will meet several members of the Data Science team but not only, this way you get to know more about us, and we get to know more about you.

• Discovery call 👀
• Technical discussion 👾
• Technical test + debrief 🧠
• Culture fit 🐼