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Data Scientist at ebiquity – Spain | Jobyssey

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Data Scientist

ebiquity · Spain, Spain · 2 weeks ago

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Work mode: Remote
Category: Data science
Experience: 1+ years

analytics aws azure causal-inference cloud data-science gcp git machine-learning python sql statistics time-series

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Hands-on junior-to-mid data scientist role in Ebiquity's Data Science team, turning client data into statistical/ML models and reusable analytics tooling. Day to day: cleaning and quality-checking datasets with SQL and Python/R, building regression, forecasting and Bayesian models, and automating analysis pipelines with Git. Based in Spain.

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.

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

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

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

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