Sevilla
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. 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 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 ___and submit your application by attaching your CV. We remind you that, pursuant to Article 111-bis of the Privacy Code, it is not necessary to obtain authorization for the processing of personal data contained in your CV.
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