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.
This position is based in our office in Chiasso (Switzerland).
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
- Participate in amazing winter and summer corporate events
- 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
