Machine Learning Scientist

closed
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lastminute.com

πŸ“Remote - Spain

Summary

Join lastminute.com, a European Travel-Tech leader, as a Machine Learning Scientist working fully remotely from Spain. You will develop real-time machine learning solutions and dynamic pricing algorithms using reinforcement learning. Collaboration with a cross-functional team is key. This permanent, full-time (36 hours/week) position requires a Ph.D. or Master's degree with relevant experience and expertise in machine learning techniques. The company offers a shorter working week, flexible hours, and various professional development opportunities. Additional perks include travel discounts and support for life's significant moments.

Requirements

  • 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

Responsibilities

  • 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

Preferred Qualifications

  • Able to find creative solutions to interesting problems
  • Curious with a constant desire to learn and collaborate
  • Previous experience with dynamic pricing algorithms

Benefits

  • 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
  • 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 content
  • 2 paid days off per year for volunteering purposes
  • Occasional social events to foster connections among colleagues
  • Travel industry discounts and flash exclusive staff fares
  • We support our employees through life's significant moments with leave options (e.g parental responsibilities, marriages, bereavements, relocations, etc.) in line with local laws
This job is filled or no longer available