Data Scientist

October 14, 2026

Hybrid

Middle

Barcelona, Spain

Description

One of the companies we collaborate with is hiring a Data Scientist to join its Data team in Barcelona. The position is hybrid with one day per week in the office, building advanced analytics, statistical and machine learning solutions for business units in the transport sector. The role covers the full data lifecycle, from collecting and exploring structured and unstructured data to deploying, monitoring and maintaining models in production together with the MLOps team.

Responsibilities

Collect large volumes of structured and unstructured data from files, databases and APIs and transform it into a more understandable format
Perform exploratory data analysis to understand the nature and distribution of data, identify patterns and correlations, and visualize them effectively
Develop and apply predictive, optimization and statistical models such as regression, classification, clustering and time series to solve specific business problems
Apply statistics and Machine Learning techniques to build predictive models and generate actionable insights for different business areas
Evaluate and validate model accuracy and performance using cross-validation, test sets and appropriate performance metrics
Collaborate with the MLOps team to integrate developed models into a production environment
Work closely with data engineers, analysts, domain experts and business teams to understand project requirements and objectives
Participate in requirements definition, identifying business needs and translating business problems into use cases and analytical solutions
Communicate analyses, model results and implications to technical and non-technical stakeholders through reports, presentations and clear visualizations
Monitor model performance in production, perform periodic maintenance and update models when needed to ensure relevance and accuracy
Stay up to date with analytical techniques such as machine learning, optimization, deep learning and text analysis

Requirements

Degree, Master's or PhD in Computer Science, Economics, Business Administration, Data Science or a related field
More than 3 years of experience in Data Science, including data storage, ETL processes and data integration
Hands-on experience working autonomously on statistics and Machine Learning projects is highly valued
Advanced SQL knowledge with mastery in writing and optimizing queries
Experience developing in AWS, Azure or Google Cloud environments
Deep knowledge of data modeling, governance and data quality best practices
Ability to manipulate and preprocess large volumes of data using tools such as SQL, Pandas or Polars
Experience writing Python scripts and familiarity with Python libraries and tools
Practical experience in Machine Learning and applied statistics techniques including predictive models, regression, classification, clustering and time series
Knowledge of statistics such as hypothesis testing, regression analysis and probability distributions is valued
Proficiency in visualization libraries like Matplotlib, Seaborn and ggplot2 to create clear informative visualizations, with Tableau as a plus
Experience in requirements gathering, stakeholder communication and presenting analytical results to business profiles
Experience in Commercial, Sales, Controlling or other functions where data analysis directly impacts decision making is valued

Conditions

Permanent contract with stability from day one
Flexible schedule with one day per week on-site
Training allowance to develop in the professional areas of your choice
Private health insurance
Flexible remuneration applicable to health insurance, restaurants, transport, childcare and training
Pension plan with an additional company contribution
Wellness app with access to gyms, sports activities and specialists at reduced prices
Team events, afterworks and charity activities to disconnect and get to know the team

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