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Machine Learning Scientist (Hybrid Working Model), Madrid
Company Description: 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 believe in an equal opportunity environment that celebrates everyone's uniqueness. We value diverse experiences and viewpoints, as they drive innovation. We aim for our people to reflect the communities we serve worldwide.
Job Details
* Location: Madrid, Spain
* Job Category: Other
* EU Work Permit Required: Yes
* Job Reference: 304457721662196940832460
* Job Views: 1
* Posted: 31.03.2025
* Expiry Date: 15.05.2025
Job Description
Key Responsibilities:
1. Develop pseudo-realtime machine learning solutions for challenging real-world problems on big data.
2. Develop ranking and recommendation algorithms to enhance customer experience.
3. Collaborate within a cross-functional team, including machine learning scientists, software engineers, machine learning engineers, and project managers.
Qualifications
Essential:
* A Ph.D. in Computer Science, Mathematics, or Physics.
* Strong knowledge of supervised (classification, regression) and unsupervised (clustering, feature selection, dimensionality reduction) methods.
* Proficiency in Python and SQL.
* Experience with key Python libraries such as scikit-learn, pandas, matplotlib, numpy, scipy, MLflow.
* Experience with distributed version control systems, mainly Git (GitHub or Bitbucket).
* Experience with Deep Learning (RNNs, CNNs, Transformers, Autoencoders).
* Experience with Keras (and TensorFlow) or PyTorch.
Desirable:
* Reinforcement Learning (Multi-Armed Bandit, Markov Decision Process, Q-learning).
* Creative problem-solving skills.
* Curiosity and eagerness to learn and collaborate.
* Knowledge of Spark is a plus.
Additional Information
What We Offer:
* Join a dynamic, inclusive, international team.
* Career growth opportunities and internal mobility.
* Flexible working hours with shorter workweek (36h) and Friday mornings off.
* Focus time for learning and deep work on Friday mornings.
* Continuous training via our platform.
* Travel discounts, volunteering days, employee vouchers, free snacks and beverages, corporate events.
* Extended parental and marriage leave per local laws.
* Access to our welfare platform with discounts at over 1500 partners.
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