Data scientist - Seville - Engineering International Belgium

    Engineering International Belgium
    Engineering International Belgium Seville

    hace 4 días

    28.000 € - 65.000 € (EUR) por año *
    Descripción

    We're looking for a skilled Data Scientist to join an international data science team supporting cutting-edge digital transformation and AI-driven research projects.

    No espere a enviar su solicitud después de leer esta descripción; se espera un gran volumen de candidaturas para esta oportunidad.

    In this role, you'll work on advanced data processing, analytics, and visualization solutions — transforming complex datasets into actionable insights.

    Main Requirements


    • Excellent and proven knowledge in Python 3, package managers (PIP, Conda) and Jupyter. Knowledge of R is a valuable asset.
    • Excellent and proven knowledge in Elasticsearch and good knowledge of the other Elastic Stack components (Kibana, Beats & Logstash)
    • Excellent and proven knowledge of SQL tooling (RDBMS, NoSQL)
    • Excellent knowledge of Data Analytics techniques and tools
    • Proven knowledge in Natural Language Processing (NLP), Neural Networks and Deep learning libraries, and Classical Learning (e.g. Pattern search, Clustering, Classifications) algorithms
    • Proficient in continuous code delivery and unit testing.
    • Knowledge of business intelligence tools (e.g. PowerBI, Tableau, SAS, SAP, GoodData...)
    • Knowledge of ETL processes and tools (e.g. Pentaho Data Integration or Talend Open Studio...)
    • Knowledge of architectural design and implementation of scalable modern data stores.
    • Knowledge in at least three of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), sentiment analysis, topic detection, social media crawling and processing, plagiarism detection, trends/anomalies detection in datasets, recommendation systems
    • Ability to write, debug and validate code and results, to learn new approaches and technologies and to scout for new solutions efficiently and fast.
    List of Responsibilities


    • To collect business requirements and develop advanced data mining solutions or identify, assess and deploy relevant existing data mining, machine learning and business intelligence solutions
    • To define specifications and design presentation interfaces with optimal usability/user experience
    • To identify, collect, convert, combine and update different data types/sets in several locations (e.g. scripting and ETL)
    • To produce data models according to specific problems statements
    • Scripting and programming, and related testing
    • Data validation, and subsequent code debugging or recommendation xohynlm for improvement on methodology
    • To contribute to the design and implementation of the analytics architecture and its solution stack (including performance aspects, physical design, capacity dimensions etc...)
    • To write the different documentation associated with the tasks and liaise with other project teams as necessary to address cross-project interdependencies
    • Interaction with the business analysts, customer, users, project leaders and developers
    If you are interested, please read carefully the privacy policy available
    here
    * Este rango salarial es una estimación hecha por beBee
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