Company Description

lastminute.com is the European Travel Tech leader in Dynamic Holiday Packages. It operates a portfolio of well-known brands such as lastminute.com, Volagratis, Rumbo, weg.de, Bravofly, Jetcost and Hotelscan. 

Our mission is to lead the travel industry by leveraging technology to simplify, personalise, and enhance our customers’ travel experience. Experts in brightening up online travel, we help our customers find and do "whatever makes them pink". 

We continuously invest in talented people who ensure our offering is closer to the needs of the customers and keep us at the cutting edge of technology evolution. We run our business in 17 languages and 40 countries, with more than 1,500 employees spread across our offices worldwide, developing our own products and services to power the entire traveller journey for millions of people. 

At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

lastminute.com N.V. is a publicly-traded company listed under the ticker symbol LMN on the SIX Swiss Exchange. 

Job Description

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

Qualifications

 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

Additional Information

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