Data Scientist - ML
Machine Learning
Barcelona
Remote friendly
This challenge is for you! People define you as a Fintech mega fan and you cannot stop studying and doing researches about it... does it sound familiar to you? Then you have to keep reading!
We are looking for a Data Scientist wizard able to enable complex data into relevant actionable insights.
Your mission π
Design and execute end-to-end data science experiments, including building large-scale data processing pipelines for data gathering, data cleaning, data understanding and data analysis.
Design new features, train models and evaluate models using advanced analytical methods to find behaviours and actionable data. Work in a multidisciplinary team spanning across engineering, data science, data visualization and product development. Communicate findings and results to internal and external stakeholders and make business recommendations.
Face the demands of the financial industry, from scalability to fault tolerance to data protection and security.
Help to uphold their competitive edge by continuously learning and sharing your knowledge in company technical talks.
Take ownership of your work and always strive to raise the bar.
Perks, my friend!
Being part of a top technical team eager to revolutionize the fintech industry.
Flexible working hours and special attention to work-life balance.
Insurance, Snacks & Team Buildings.
β¬1000 training budget.
English lessons.
You can choose between a Mac or a Windows laptop.
High degree of autonomy.
Flat hierarchy and open communication.
High Equity Compensation.
Competitive salary.
If this is you β holy cow! π
Msc/PhD in quantitative discipline (e.g., physics, statics, computer science, bioinformatics, electrical engineering, etc.).
Proficiency in Python.
Experience with modeling tools:
Classification (Random Forest, Co-forest)
Active Learning (Uncertainty sampling)
Unsupervised (UMAP, K-Means, DBSCAN, Isolation forest)
A/B testing.
Experience with data science platforms (e.g., SciPy/Pandas, R).
Experience with machine learning platforms (e.g., scikit-learn, Tensorflow, Spark ML).
If this is also you β JACKPOT! πππ
Super if you have experience with data processing platforms (e.g., Spark, Hadoop).
Experience with large datasets.
Previous experience in a fintech company.
Experience with classification models.
Deep knowledge of SQL.
Letβs have a chat and GetWith us! π
