Senior Machine Learning Scientist
Senior Machine Learning Scientist
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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 fulltime (36 h/week)
What your impact will be:
- Develop realtime machine learning solutions to deal with challenging realworld problems on big data
- Develop Ranking/Recommendation Algorithms based on deep learning
- Develop Dynamic Pricing Algorithms based on reinforcement learning
- Collaborate in a crossfunctional team including machine learning scientists software engineers machine learning engineers and project managers
Qualifications :
Your expertise:
- A Ph.D. in Computer Science Mathematics or Physics with a minimum of 2 years of experience in machine learning or a Masters 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 (scikitlearn Pandas matplotlib Numpy Scipy MLflow)
- Experience with Deep Learning (Recurrent Neural Networks Convolutional Neural Networks and Autoencoders)
- Experience with Reinforcement Learning (MultiArmed Bandits Markov Decision Process Qlearning)
- 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
Additional Information :
Perks of working with us:
How we work together:
An inclusive friendly and international environment (youll 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:
FriYays: half a day on Friday morning with a nomeeting mandate and dedicated to deep work personal growth learning and training and/or focus time.
Professional and managerial skills development training paths access to elearning platforms such as OReilly 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 lifes significant moments with leave options (e.g parental responsibilities marriages bereavements relocations etc.) in line with local laws.
Wish you were here We do too!
Selection process steps*:
- HR interview (1030 minutes)
- 1st interview (Director): soft skills machine learning knowledge
- 2nd interview (Manager): Machine learning Python coding
- Offer extended
(*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
Please submit your resume in English
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
