Data Scientist

Location: Spain

You will join our Data Science team and help turn client data into reliable models and reusable analytics tooling. This is a hands-on modelling and engineering role: you will spend your time on data, code, and statistical methods.

Key Responsibilities

- Prepare, clean, and quality-check datasets using SQL and Python or R - Build and validate statistical models, including regression, machine learning, and forecasting - Apply sound statistical thinking, including a working understanding of Bayesian ideas (priors, uncertainty, posterior interpretation) - Automate recurring analysis so the team can reuse pipelines, functions, and tools - Use Git to work with the team’s codebase - Document methods and results clearly so others can review, rerun, and present the work

Skills, Knowledge and Expertise

- 1–2 years in an Analytics or Data Science team - Degree in Computer Science, Data Science, Statistics, Mathematics, Economics, or a related quantitative field - Strong coding in Python or R (both is a plus) - SQL - Solid statistics: regression, machine learning fundamentals, and model validation - Working understanding of Bayesian methodologies - Comfortable with Git - Fluent English, written and spoken - Intellectually curious, organised, and able to work independently on well-scoped problems

Nice to have

- Hands-on Bayesian tooling (Stan, PyMC, brms, or similar) - Cloud familiarity (AWS, Azure, or GCP) - Experience in media, marketing, or marketing-effectiveness work - Time series, causal inference, or test design

Benefits

What we can offer:

- Competitive salary - Training and Development Opportunities - Summer schedule July - Sept - 6 hour work day on Fridays (9.00 – 15.00) - Birthday day off