Machine Learning Scientist

About the Position

Machine Learning Scientist

At lastminute.com, we are the European Travel-Tech leader in Dynamic Holiday Packages. We are looking for a Machine Learning Scientist to join our team of around 1,700 people worldwide to help us power up the travelers’ 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.

Responsibilities

• Develop real-time machine learning solutions to deal with challenging real-world problems on big data
• Develop Ranking Algorithms based on deep learning
• Collaborate in a cross-functional team, including machine learning scientists, software engineers, machine learning engineers, and project managers

Requirements

• A Ph.D. 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 PyTorch

Nice to Have

• Experience in Uncertainty Estimation (Monte Carlo Dropout, Deep Ensembles)
• Able to find creative solutions to interesting problems
• Curious with a constant desire to learn and collaborate

We Offer

• 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 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
• Support through life’s significant moments with leave options (e.g., parental responsibilities, marriages, bereavements, relocations, etc.) in line with local laws

About the Company

At lastminute.com, we are committed to celebrating diversity and generating belonging. 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.

Eligibility Criteria

By submitting your information and application, you confirm that you are legally authorized to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.

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Please submit your resume in English.

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