Full Stack Data Scientist

hace 1 semana


Hospitalet de Llobregat, Barcelona, España GMV A tiempo completo

Our team can participate in the development of predictive solutions and the continued improvement of operations and services, through the interpretation and application of volumes of data in a public transport context, carrying out functions such as:

Design, construction and maintenance of the data infrastructure and data bases. Development and optimization of ETL processes to integrate, transform and load data. Analyze data to identify trends , perform statistical analysis and generate information and visualizations. Discover machine learning models to predict trends and behaviors. Creation and maintenance of dashboards and implementations of BI to facilitate the access and understanding of data for part of the final users.

WHAT DO WE NEED IN OUR TEAM?

For this reason, we are buscando experts who have a stable environment in which to start, with trays and experience in:

Implementation and deployment of predictive models in production (Python FastAPI, .NET core, C++, etc.). Phyton data-stack (Pandas, NumPy, Scikit-learn, Pytorch, etc.) ETL transfers and database platforms. Statistic analysis. Understanding of the principles of machine learning and the ability to implement predictive models. Technical fundamentals of optimization techniques (non-convex optimization with gradient descent, heuristics, Mixed-Integer Linear Programming, discrete optimization, etc.).

WHAT DO WE OFFER?

Hybridworking model and 8 weeks per year of teleworking outside your usual geographical area.

Flexible start and finish times , and intensive working hours Fridays and insummer.

Personalizedcareer plan development, training and language learning support.

National and international mobility . Do you come from another country?We can offer you a relocation package .

Competitivecompensation with ongoing reviews , flexible compensation anddiscount on brands.

Wellbeingprogram: Health, dental and accident insurance; free fruit and coffee ,physical, mental and financialhealth training, and much more


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