> Markdown version of [/jobs/ext/1397611-senior-data-scientist](https://www.wearedevelopers.com/jobs/ext/1397611-senior-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Data Scientist

- **Company:** Benjamin
- **Location:** Barcelona, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, BigQuery, Cloud Computing, Continuous Integration, Github, Python (Programming Language), PostgreSQL, Operational Databases, SQL Databases, TypeScript, Snowflake, Model Validation, Git, Terraform, Docker
- **Published:** July 23, 2026
- **Apply:** https://es.indeed.com/viewjob?jk=f254bb032b3fd3ce

## About the Role

* Strong statistical judgment: you know experimentation, causal inference, and model evaluation cold, and you use them to decide what's actually working
 * A track record of models that moved a real business metric. You frame problems around impact and can answer "so what?" about your own work
 * Experience with recommendations, ranking, forecasting, uplift, or causal methods
 * You've operated reliable pipelines in production, not just built them once
 * Comfortable getting your own work into production - cloud (AWS preferred), a warehouse (Snowflake, BigQuery, Postgres, or similar), and enough software engineering fundamentals (Git, testing, CI/CD, Docker) to ship without hand-holding
 * Bias toward simple, practical solutions. Strong communication and ownership

Our stack

 * Data: Snowflake, BigQuery, Postgres, dbt
 * Cloud/infra: AWS (GCP), Terraform, Docker
 * Languages: Python, SQL, TypeScript
 * Tooling: Hex, GitHub Actions, Git, Airbyte, Claude

You won't have used every tool here, and you don't need to. Strong engineering fundamentals and experience operating production data systems matter more than matching the stack.



## Related Videos

- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one)
- [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker)

## Related Articles

- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Dev Digest 119 - ❤️ === ❤️](https://www.wearedevelopers.com/magazine/454-dev-digest-119)