Machine Learning Scientist

TN Spain; Madrid; Presencial; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

An established industry player is seeking a Machine Learning Scientist to join their Strategic Analytics team. In this role, you will develop innovative machine learning solutions to tackle complex real-world problems using big data. You will collaborate with a diverse team of experts and leverage cutting-edge technologies to create impactful algorithms. This forward-thinking company values creativity and continuous learning, offering a flexible work environment and numerous opportunities for professional growth. If you are passionate about machine learning and eager to make a difference, this is the perfect opportunity for you.

Servicios

Flexible working hours

Shorter working week

Paid volunteering days

Travel industry discounts

Access to e-learning platforms

Social events

Support for life events

Formación

• Ph.D. in relevant field or Master's with 3 years experience in ML.
• Strong knowledge of supervised and unsupervised learning methods.

Responsabilidades

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

Conocimientos

Machine Learning

Deep Learning

Python

SQL

Supervised Learning

Unsupervised Learning

Creative Problem Solving

Educación

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

Master's degree with 3 years of experience

Herramientas

scikit-learn

Pandas

matplotlib

Numpy

Scipy

MLflow

Keras

TensorFlow

PyTorch

Descripción del empleo

Job Title - Machine Learning Scientist
Working model - Full remote in Spain
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 Algorithms based on deep learning
• Collaborate in a cross-functional team, including machine learning scientists, software engineers, machine learning engineers, and project managers

Your expertise:

• 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

Desirable:

• 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 (30 minutes)
- 1st interview (Manager 1 hour): Machine learning + Python coding
- 2nd interview (Director 45 min): Soft skills + machine learning knowledge
- Offer 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 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.