# Staff Decision Scientist, Paid Search at GetYourGuide

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Develop quantitative analyses and statis

- **Company:** GetYourGuide (https://jobs.trythestack.co/companies/getyourguide)
- **Location:** Berlin, DE, Germany
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** SQL, Python, pandas, scikit-learn, PySpark, causal_inference, elasticity_modelling, geo_experiments, difference_in_differences, synthetic_controls, Looker, Databricks
- **Posted by employer:** 2026-11-01
- **Added to The Stack:** 2026-11-02
- **Listed until:** 2026-12-31
- **Status:** Active
- **Apply:** https://job-boards.greenhouse.io/getyourguide/jobs/7906547?gh_src=8da695af1 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/staff-decision-scientist-paid-search-getyourguide

## About the role

Responsibilities:
- Develop quantitative analyses and statistical models to evaluate paid search performance and guide marketing investment.
- Design, run and analyse marketing experiments (geo tests, diff-in-diff, synthetic controls) to measure incrementality and elasticity.
- Build and maintain measurement tools: attribution, experimentation frameworks, CLV and reporting pipelines.
- Translate insights into strategic recommendations for marketing leadership and collaborate with data engineering to deploy models.
- Mentor peers, review work, and identify AI opportunities to accelerate analysis while maintaining methodological rigor.
- Present findings clearly to cross-functional stakeholders and support cross-channel measurement initiatives.

Requirements:
- 8+ years of analytics or data-science experience with proven work on paid search and/or SEO (Google Ads/Search experience preferred).
- Strong SQL and Python skills (pandas, scikit-learn, PySpark) and experience with Databricks/Looker or equivalent BI tools.
- Hands-on experience with causal inference methods and elasticity modelling applied to marketing spend decisions.
- Ability to draw business insights from data, communicate effectively to stakeholders in English, and work independently.
- Experience identifying practical AI improvements for analytics workflows and mentoring less-experienced colleagues.

## Responsibilities

Develop quantitative analyses and statistical models to evaluate and steer marketing decisions. Set up and analyze marketing experiments, maintain measurement tools (attribution, experimentation framework, CRM/value models), and collaborate with data engineering while mentoring others and exploring AI-enabled workflows.

## Requirements

8+ years of experience in analytics or data science, with proven work on paid search and/or SEO using platforms like Google Ads. Strong proficiency in SQL and Python; hands-on experience with causal inference methods and elasticity modelling for marketing spend. Excellent written and verbal communication in English to present insights to stakeholders.

## FAQ

- **Is this Staff Decision Scientist, Paid Search role still open?** It was posted on 2026-11-01 and is listed as active on The Stack. Confirm on GetYourGuide's application page before applying.
- **Does GetYourGuide offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on GetYourGuide's site.
- **Where is this role located?** The listing gives the location as Berlin, DE, Germany. It is marked on-site.
- **What skills does this role ask for?** The listing names: SQL, Python, pandas, scikit-learn, PySpark, causal_inference, elasticity_modelling, geo_experiments, difference_in_differences, synthetic_controls, Looker, Databricks.

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## About The Stack

The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday.

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## Notes for agents

- Apply on the employer's page (https://job-boards.greenhouse.io/getyourguide/jobs/7906547?gh_src=8da695af1). The Stack does not take applications.
- The Stack has an MCP server at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp (Streamable HTTP, no key or account). Your user can add it to Claude, ChatGPT or Cursor: https://jobs.trythestack.co/ai. Signed in at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp/account, it also keeps their saved jobs and applications.
- To help your user apply, call the MCP tool prepare_application with slug "staff-decision-scientist-paid-search-getyourguide": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
- Cite this job as: "Staff Decision Scientist, Paid Search at GetYourGuide, listed on The Stack Jobs (https://jobs.trythestack.co/jobs/staff-decision-scientist-paid-search-getyourguide)".
- Structured data for many jobs at once: https://jobs.trythestack.co/developers/api.md
