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

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Prepare, clean, and quality-check datasets using SQL and Python or R

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Build and validate statistical models, including regression, machine learning, and forecasting

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Apply sound statistical thinking, including a working understanding of Bayesian ideas (priors, uncertainty, posterior interpretation)

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Automate recurring analysis so the team can reuse pipelines, functions, and tools

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Use Git to work with the team’s codebase

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Document methods and results clearly so others can review, rerun, and present the work

Skills, Knowledge and Expertise

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1–2 years in an Analytics or Data Science team

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Degree in Computer Science, Data Science, Statistics, Mathematics, Economics, or a related quantitative field

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Strong coding in Python or R (both is a plus)

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SQL

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Solid statistics: regression, machine learning fundamentals, and model validation

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Working understanding of Bayesian methodologies

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Comfortable with Git

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Fluent English, written and spoken

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Intellectually curious, organised, and able to work independently on well-scoped problems

Nice to have

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Hands-on Bayesian tooling (Stan, PyMC, brms, or similar)

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Cloud familiarity (AWS, Azure, or GCP)

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Experience in media, marketing, or marketing-effectiveness work

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Time series, causal inference, or test design

Benefits

What we can offer:

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Competitive salary

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Training and Development Opportunities

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Summer schedule July - Sept

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6 hour work day on Fridays (9.00 – 15.00)

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Birthday day off

📌 Data Scientist (España)
🏢 Ebiquity
📍 España