Machine Learning Scientist

hace 1 día

Madrid, España Lastminute Group A tiempo completo

.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 dataDevelop Dynamic Pricing algorithms based on reinforcement learningCollaborate in a cross-functional team, including machine learning scientists, software engineers, machine learning engineers, and project managersQualifications 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 PyTorchAble to find creative solutions to interesting problemsCurious with a constant desire to learn and collaboratePrevious experience with dynamic pricing algorithmsAdditional 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 FridaysFlexible start and end of the working dayPossibility to work from anywhere for a period of time per year defined according to local regulationsHow we learn together:Fri-Yays: half a day on Friday morning with a no-meeting mandate and dedicated to deep work, personal growth, learning and training and/or focus time

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