Principal/Staff Data Scientist - Economics
@ Delivery Hero

Berlin, Germany
On Site
Full-time
Posted 4 days ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXXXXX******* @deliveryhero.com
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Job Details

Company Overview

As the world’s pioneering local delivery platform, Delivery Hero delivers an amazing experience - fast, easy, and right to your door. Operating in over 70 countries, and headquartered in Berlin, Germany, Delivery Hero is one of Europe’s largest tech platforms listed on the Frankfurt Stock Exchange.

Job Description

Join our Vendor Data team as our Principal Data Scientist - Economics. In this role, you will design, build, and implement advanced monetization and pricing models impacting hundreds of thousands of restaurants and local businesses globally. Your work will unlock new revenue streams, optimize vendor monetisation, and drive data-driven decision making that shapes our global bottom line.

  • Lead development of econometric and machine learning models.
  • Design and analyze experiments and A/B tests.
  • Present research and recommendations to senior executives.
  • Collaborate with Commercial, Product, and Data Engineering teams.
  • Support high-impact projects with financial significance.

Qualifications

A Ph.D. in Economics or a similar field is required, along with 5+ years of data science experience, ideally in Revenue Management, Pricing, or Monetization Analytics. You should be proficient in Python and/or R, SQL (preferably with BigQuery), and data visualization tools like Tableau.

Key Skills/Competency

Principal Data Scientist - Economics: Econometrics, Machine Learning, Pricing, Revenue Management, Experiment Design, Data Science, Python, R, SQL, Communication

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How to Get Hired at Delivery Hero

🎯 Tips for Getting Hired

  • Research Delivery Hero's culture: Understand their mission, values, and market presence.
  • Tailor your resume: Highlight econometrics, ML and pricing experience.
  • Prepare technical skills: Brush up on Python, R, SQL, and BigQuery.
  • Practice interview insights: Focus on high-stakes project examples.
  • Network effectively: Engage with current employees on LinkedIn.

📝 Interview Preparation Advice

Technical Preparation

Review econometrics modeling techniques.
Practice Python, R, SQL coding exercises.
Study revenue forecasting and pricing strategies.
Explore A/B testing and experiment design.

Behavioral Questions

Describe a high-stakes project experience.
Explain decision-making under pressure.
Share cross-team collaboration examples.
Detail handling ambiguous challenges.

Frequently Asked Questions