Data Scientist — Marketing Analytics (6h Fridays, Birthday Off)

Ebiquity plc; España; Presencial; EUR 45.000 - 65.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Training and Development Opportunities

Summer schedule July - Sept

6 hour work day on Fridays (9.00 - 15.

Birthday day off

Descripción de la vacante

Ebiquity plc seeks a Data Scientist in Spain to join our Marketing Effectiveness - Europe team. You will turn client data into reliable models and reusable analytics tooling, focusing on hands-on modelling and engineering with data, code, and statistics.

You'll work on datasets, build predictive models, apply Bayesian methods, and automate analyses with Python or R and SQL. This role emphasizes collaboration, code versioning with Git, and clear documentation.

Formación

• 1-2 years in an Analytics or Data Science team.
• Degree in a quantitative field as listed.
• Strong coding in Python or R; both is a plus.
• SQL experience.
• Solid statistics and model validation.
• Bayesian approaches understood.
• Experience with Git.
• Fluent English, written and spoken.
• Independent and well-organised problem solver.

Responsabilidades

• Prepare, clean, and quality-check datasets using SQL and Python or R.
• Build and validate statistical models including regression, ML, forecasting.
• Apply Bayesian thinking with priors, uncertainty, and posterior interpretation.
• Automate recurring analyses to reuse pipelines and tools.
• Collaborate using Git and document methods for review.
• Communicate results clearly for stakeholders.

Conocimientos

Analytics/Data Science experience

Python

R

SQL

Statistics

Machine learning

Model validation

Bayesian methods

Git

English

Independent work

Educación

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

Herramientas

Stan

PyMC

brms

AWS

Azure

GCP

Descripción del empleo

Ebiquity plc seeks a Data Scientist in Spain to join our Marketing Effectiveness - Europe team. You will turn client data into reliable models and reusable analytics tooling, focusing on hands-on modelling and engineering with data, code, and statistics.

You'll work on datasets, build predictive models, apply Bayesian methods, and automate analyses with Python or R and SQL. This role emphasizes collaboration, code versioning with Git, and clear documentation.