Data Scientist
Spain
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
Permanent — employment source
Employment type Permanent - Full Time
Read the full posting
What you’ll work on
Full postingBuild and validate statistical models, including regression, machine learning, and forecasting
Document methods and results clearly so others can review, rerun, and present the work
From the employer’s posting
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)
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
Tools in this posting
- Python
- R
- SQL
- AWS
- Azure
- Google Cloud (GCP)
Source — Tool mentions in context
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
- 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
- Strong coding in Python or R (both is a plus) - SQL - Solid statistics: regression, machine learning fundamentals, and model validation
- Hands-on Bayesian tooling (Stan, PyMC, brms, or similar) - Cloud familiarity (AWS, Azure, or GCP) - Experience in media, marketing, or marketing-effectiveness work
Benefits in the posting
Full benefits wording- What we can offer:
- Competitive salary
- Training and Development Opportunities
- Summer schedule July - Sept
- Birthday day off
- Employment type
- Permanent - Full Time
From the employer’s posting.
Job description
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.
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
Employment type
Permanent - Full Time
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on ebiquity.pinpointhq.com. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Spain
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 26, 2026
- Recorded sightings
- 1
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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