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At lastminute.com, we live for the holidays. We are the European Travel-Tech leader in Dynamic Holiday Packages. With technology, we turn spontaneous thoughts into meaningful experiences, helping people travel the world.

We are looking for a Machine Learning Scientist to join our team of around 1,700 people worldwide to help us power up the travelers' journey for millions of holidaymakers. If you are a motivated machine learning scientist who loves to work with challenging real-world problems on big data, keep reading, as you might be the perfect fit for this job.

Job Title:

Machine Learning Scientist

Working model:

Remote from Spanish territory

Team:

You will join the Strategic Analytics team in the Technology department.

Level:

Professional

Location:

Spain

Contract:

Permanent - full-time (36 h / week)

What your impact will be:

• Develop real-time machine learning solutions to deal with challenging real-world problems on big data
• Develop Ranking / Recommendation Algorithms based on deep learning
• Develop Dynamic Pricing Algorithms based on reinforcement learning
• Collaborate in a cross-functional team, including machine learning scientists, software engineers, machine learning engineers, and project managers

Qualifications:

• A Ph.D. in Computer Science, Mathematics, or Physics with a minimum of 2 years of experience in machine learning, or a Master's degree with a minimum of 5 years of experience in machine learning.
• Excellent knowledge of Supervised methods (Classification, Regression) and Unsupervised methods (Clustering, Feature Selection, Dimensionality Reduction)
• Good knowledge of Python and SQL, with knowledge of the most important Python libraries for Machine Learning and Data Analysis (scikit-learn, Pandas, matplotlib, Numpy, Scipy, MLflow)
• Experience with Deep Learning (Recurrent Neural Networks, Convolutional Neural Networks, and Autoencoders)
• Experience with Reinforcement Learning (Multi-Armed Bandits, Markov Decision Process, Q-learning)
• Experience with Keras (and TensorFlow) or PyTorch
• Experience in Uncertainty Estimation (Monte Carlo Dropout, Deep Ensembles)
• Able to find creative solutions to interesting problems
• Curious with a constant desire to learn and collaborate

Selection process steps:

• HR interview (10-30 minutes)
• 1st interview (Director): soft skills + machine learning knowledge
• 2nd interview (Manager): Machine learning + Python coding
• Please note the process can vary slightly. The recruiter in charge will share more details when setting up the interview.

Eligibility criteria:

By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.