Senior Machine Learning Scientist

buscojobs España; Asturias; Presencial; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

Join a forward-thinking company as a Machine Learning Scientist, where your expertise will help shape the future of travel technology. In this role, you will tackle real-world challenges using machine learning and big data, developing innovative solutions that enhance the traveler experience. Collaborate with a diverse team of professionals in an inclusive environment that values creativity and continuous learning. Enjoy a flexible working model, a shorter workweek, and various perks that support personal and professional growth. If you're passionate about leveraging technology to make a difference, this opportunity is perfect for you.

Servicios

Flexible working hours

Shorter working week

Paid volunteering days

Travel industry discounts

Professional development training

Formación

• Ph.D. or Master's degree with relevant experience in machine learning.
• Strong knowledge of supervised and unsupervised methods.

Responsabilidades

• Develop real-time machine learning solutions for big data challenges.
• Collaborate with cross-functional teams on machine learning projects.

Conocimientos

Machine Learning

Python

SQL

Deep Learning

Reinforcement Learning

Unsupervised Learning

Creativity

Educación

Ph.D. in Computer Science, Mathematics, or Physics

Master’s degree in relevant field

Herramientas

scikit-learn

Pandas

matplotlib

Numpy

Scipy

Keras

TensorFlow

PyTorch

Descripción del empleo

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 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.

Job Description

Job Title : Machine Learning Scientist

Working model : Remote from Spanish territory

Team : You will join the Strategic Analytics team in the Technology department.

Level : Professional

Location : Spain

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 data
• Develop Ranking / Recommendation Algorithms based on deep learning
• 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

Qualifications

• A Ph.D. in Computer Science, Mathematics, or Physics with a minimum of 2 years of experience in machine learning, or a Master’s degree with a minimum of 5 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 Reinforcement Learning (Multi-Armed Bandits, Markov Decision Process, Q-learning)
• Experience with Keras (and TensorFlow) or PyTorch
• 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

Perks 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 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

How 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 content

Other perks :

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.

Selection process steps :

• HR interview (10-30 minutes)
• 1st interview (Director) : soft skills + machine learning knowledge
• 2nd interview (Manager) : Machine learning + Python coding
• Please note the process can vary slightly. The recruiter in charge will share more details when setting up the interview)

Our commitment to celebrate diversity and generate belonging :

At 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 criteria :

By 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.

Company : lastminute.com

Qualifications : Language requirements : Specific requirements : Educational level : Level of experience (years) :