.Company Descriptionlastminute.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 DescriptionWe 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 dataDevelop ranking and recommendation algorithms to improve our customers' experienceCollaborate in a cross-functional team, including machine learning scientists, software engineers, machine learning engineers, and project managersQualificationsEssentialA Ph.D. in Computer Science, Mathematics, or Physics.At least 5 years of experience in the fieldExcellent 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 SQLKnowledge 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)
