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 (youβll 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 Oβreilly, 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