Machine Learning Scientist

hace 3 semanas

Madrid, España Lastminute Group A tiempo completo

.The Company 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 traveller's 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 Description Job Title: Machine Learning ScientistWorking model: Full remote from SpainTeam: You will join the Strategic Analytics team within the Technology department.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 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 Your expertise:A Ph.D. in Computer Science, Mathematics, or Physics, or a Master's degree with a minimum of 3 years of experience in the field of machine learning.Excellent knowledge of Supervised methods (Classification, Regression) and Unsupervised methods (Clustering, Feature Selection, Dimensionality Reduction).Experience in Reinforcement Learning (Multi-Armed Bandit and Markov Decision Process).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 Keras (and TensorFlow) or PyTorch.Able to find creative solutions to interesting problems.Curious with a constant desire to learn and collaborate.Previous experience with dynamic pricing algorithms.Additional Information How we work together:An inclusive, friendly, and international environment (you'll be working with colleagues from +10 countries and over 48 nationalities).Shorter working week (36h as full time), with a half working day on Fridays.Flexible start and end of the working day.Possibility to work from anywhere for a period of time per year defined according to local regulations.How we learn together:Fri-Yays: half a day on Friday morning with a no-meeting mandate dedicated to deep work, personal growth, learning, and training.Professional and managerial skills development training paths, access to e-learning platforms such as O'reilly, Udemy, Coursera (depending on the department), and to our internal platform offering bespoke training content.Other perks:2 paid days off per year for volunteering purposes.Occasional social events to foster connections among colleagues

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