Data Scientist – ML & NLP for European Projects

Altia; Madrid; Presencial; EUR 45.000 - 75.000; Jornada completa

Descripción de la vacante

Altia is seeking a Data Scientist to join its European team, working on international projects for a significant European Agency. The role requires strong analytics, ML/NLP expertise, and proficiency in Python, R, and SQL. You will collaborate with UX and product teams to design, implement and monitor data-driven solutions.

Join a team that emphasizes reproducibility, scalable data pipelines, and robust analytics architectures, with opportunities to shape advanced analytics across projects.

Formación

• Knowledge of advanced analytics techniques and tools (Python, R, SAS, Spark) to design and implement data-driven solutions.
• Knowledge of machine learning and NLP (scikit-learn, TensorFlow, PyTorch, Hugging Face) to build predictive and text-based models.
• Knowledge of programming languages (Python, R, SQL; Perl optional) used in data science for modelling and automation.
• Knowledge of MLOps practices (CI/CD pipelines, model registry, unit testing) to ensure reproducibility and quality in model delivery.
• Knowledge of BI tools (Tableau, SAS, SAP Analytics) to visualise and communicate model outputs and insights.
• Knowledge of data engineering and ETL processes using tools (Talend, Informatica, dbt, Azure Data Factory) to prepare training datasets.
• Knowledge of data storage and query technologies (SQL, NoSQL, MongoDB, Hadoop) to extract and process data at scale.
• High level of English.

Responsabilidades

• 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 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.

Conocimientos

Frame business problems

Present models clearly

Accuracy and reproducibility

Design and test approaches

Manage experiments and pipelines

Explore new algorithms and AI methods

Interpret analytical findings

English proficiency

Herramientas

Python

R

SQL

Perl (optional)

Scikit-learn

TensorFlow

PyTorch

Hugging Face

Tableau

SAP Analytics

Talend

Informatica

dbt

Azure Data Factory

NoSQL

MongoDB

Hadoop

Descripción del empleo

Altia is seeking a Data Scientist to join its European team, working on international projects for a significant European Agency. The role requires strong analytics, ML/NLP expertise, and proficiency in Python, R, and SQL. You will collaborate with UX and product teams to design, implement and monitor data-driven solutions.

Join a team that emphasizes reproducibility, scalable data pipelines, and robust analytics architectures, with opportunities to shape advanced analytics across projects.