Do you want to start a new professional challenge? Check out our new opportunity!
We are looking to incorporate a Data Scientist to our team.
🤗 About us
We are an IT Consultant Group that provides services and creates digital solutions to improve the lives of citizens across Europe. Check out our website: www.altia.es/en
🚀 Our project and team
This is your opportunity to start working on international projects with a highly qualified team and applying the latest technologies.
You will join our European team, specifically the one involved in several projects for a significant European Agency.
Minimum Requirements
🧠 Required Knowledge
- Knowledge of advanced analytics techniques and tools (e.g., Python, R, SAS, Spark) to design and implement data-driven solutions.
- Knowledge of machine learning and natural language processing (e.g., Scikit-learn, TensorFlow, PyTorch, Hugging Face) to build predictive and text-based models.
- Knowledge of programming languages (e.g., Python, R, SQL; Perl optional) commonly used in data science for modelling and automation.
- Knowledge of MLOps practices (e.g., CI/CD pipelines, model registry, unit testing frameworks) to ensure reproducibility and quality in model delivery.
- Knowledge of business intelligence tools (e.g., Tableau, SAS, SAP Analytics) to visualise and communicate model outputs and insights.
- Knowledge of data engineering and ETL processes using tools (e.g., Talend, Informatica, dbt, Azure Data Factory) to prepare training datasets.
- Knowledge of data storage and query technologies (e.g., SQL, NoSQL, MongoDB, Hadoop) to extract and process data at scale.
- High level of English.
✅ Main Responsibilities
- Collaborate with stakeholders to collect requirements, frame business problems as data science hypotheses, define success metrics, and develop or deploy advanced data mining and machine learning solutions.
- Collaborate with User Experience (UX) and product teams to specify design requirements for the effective presentation and interpretation of model outputs and insights.
- Develop process to monitor and analyse data accuracy
- Identify, collect, and prepare data for analysis, collaborating with Data Analysts to ensure robust production-grade data pipelines, with a focus on feature engineering and data readiness for modelling.
- Produce data models according to specific problems statements.
- Develop and implement machine learning algorithms, statistical models, and scripts to solve specific business problems.
- Collaborate with Data Analysts and Architects on the design of the analytics architecture to ensure it supports the scalability and performance requirements of data science models.
- Write the different documentation associated with the tasks and liaise with other teams as necessary to address cross-system interdependencies.
🔝 Skills:
- Ability to frame business problems, form hypotheses, and design solutions.
- Skill in presenting models and insights clearly to all audiences.
- Commitment to accuracy, reproducibility, and integrity in models.
- Ability to design and test approaches for complex challenges.
- Competence in managing experiments, pipelines, and deliverables.
- Drive to explore new algorithms, frameworks, and AI methods.
- Ability to interpret analytical findings to tell a compelling story that clearly prescribes business actions and drives strategic decision-making.
- Ability to understand, speak and write English, optionally French as an additional asset.
This job offer has been drafted with impartiality and non-discrimination on the basis of gender, race, ideology or any other grounds in mind. In particular, it complies with current regulations on gender equality between women and men (Royal Decree-Law 6/2019)