Machine Learning Scientist

Company DescriptionAt , 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.Job DescriptionJob Title - Machine Learning ScientistWorking model - Full remote in SpainTeam - You will join the Strategic Analytics team in the Technology department.Level - ProfessionalLocation - SpainContract - 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 Ranking Algorithms based on deep learningCollaborate in a cross-functional team, including machine learning scientists, software engineers, machine learning engineers, and project managersQualificationsYour expertise :A in Computer Science, Mathematics, or Physics, or a Master's degree with a minimum of 3 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 Keras (and TensorFlow) or PyTorchDesirable :Experience in Uncertainty Estimation (Monte Carlo Dropout, Deep Ensembles)Able to find creative solutions to interesting problemsCurious with a constant desire to learn and collaborateAdditional InformationPerks of working with us :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, 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.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 contentOther perks :2 paid days off per year for volunteering purposesOccasional social events to foster connections among colleaguesTravel industry discounts and flash exclusive staff faresWe support our employees through life's significant moments with leave options ( parental responsibilities, marriages, bereavements, relocations, etc.) in line with local laws.Selection process steps*HR interview (30 minutes)1st interview (Manager 1 hour) : Machine learning + Python coding2nd interview (Director 45 min) : Soft skills +machine learning knowledgeOffer extended(*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview)Our commitment to celebrate diversity and generate belongingAt 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.Eligibility criteriaBy 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.Please submit your resume in English#J-18808-Ljbffr