We are looking for a motivated Senior Machine Learning Scientist to work with challenging real-world problems on big data. The selected candidate will be part of a team of ten machine learning/data scientists and three machine learning engineers. 

Key responsibilities will include:

• Develop pseudo-realtime machine learning solutions to deal with challenging real-world problems on big data 
• Develop ranking and recommendation algorithms to improve our customers’ experience
• Collaborate in a cross-functional team, including machine learning scientists, software engineers, machine learning engineers, and project managers

 Essential

• A Ph.D. in Computer Science, Mathematics, or Physics.

• At least 5 years of experience in the field

• Excellent knowledge of Supervised methods (Classification, Regression) and Unsupervised methods (Clustering, Feature Selection, Dimensionality Reduction) 

• Experience in Reinforcement Learning (Multi-Armed Bandit, Markov Decision Process, and Q-learning)

• Excellent knowledge of Python and SQL

• Knowledge of the most important Python libraries for Machine Learning and Data Analysis (scikit-learn, Pandas, matplotlib, Numpy, Scipy, MLflow)

• Experience with distributed version control systems: mostly Git (Github and/or Bitbucket).

• Experience with Deep Learning (Recurrent Neural Networks, Convolutional Neural Networks, Transformer, and Autoencoders)

• Experience with Keras (and TensorFlow) or PyTorch

Desirable

• Able to find creative solutions to interesting problems
• Curious with a constant desire to learn and collaborate
• Knowledge of Spark is a plus

What we offer

By joining our company, you will have the chance to:

• Join a dynamic team in an inclusive-international environment
• Grow thanks to the career journey and our internal mobility perspective
• Manage your own schedule thanks to the flexible start and end of the working day
• Work a shorter working week (36h), of which 4 hours on Friday morning 
• Get focus time for learning, development, and deep work on Friday mornings
• Work partially remotely according to local laws
• Enjoy continuous training thanks to our company platform
• Benefit from employee discounts on travel
• Receive 2 days off per year for the purpose of volunteering
• Receive a voucher after some years in the company
• Get free snacks/fruit / hot drinks/water/beverages at our offices
• Benefit from extended parental or marriage leave according to local laws
• Welfare platform (Corporate Benefits) where you will find dedicated discounts with more than 1500 partners