Level

GetYourGuide

Staff Economist, Marketplace Economics

GetYourGuide is hiring a Staff Economist, Marketplace Economics in Berlin, Germany. Level rates it ; you can apply on GetYourGuide.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions econometrics, causal inference and experimental design among its tools and skills.
  • Level classes it as a senior role.
  • GetYourGuide has 73 other open roles on Level.

AI in this role

Owns marketplace pricing economics and causal inference modeling to inform business strategy and marketplace design.

econometricscausal-inferenceexperimental-designpricingmachine-learning

Change the way the world travels

Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours. 

Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step.

Team mission

Marketplace Economics is a new team at GetYourGuide, built to answer the questions that determine how our marketplace grows and how it should be designed. How much revenue does the next euro of paid search actually return? Which marketing channels are genuinely incremental, and which are taking credit for demand we already had? What price should a supplier set, what does a change in commission do to supply, demand, and liquidity, and how should our ranking and supplier incentives be structured in the first place?

We are a senior team working directly with leadership across Marketing, Pricing, and Supply, among others, and the decisions we inform are among the largest the company makes. On the causal inference side, we draw on tools like experimental design, natural and quasi-experiments, double machine learning, synthetic controls, and more to inform marketing attribution and incrementality, spend allocation, and price elasticity. Our structural work models demand, supply, and the mechanisms connecting them, so we can reason about equilibrium outcomes and simulate counterfactuals we can't run as experiments. Most of our hardest problems in pricing and market design need both.

Your mission

You'll be a technical lead for pricing and supply and a core contributor to our marketplace measurement work. Reporting to the Director of Marketplace Economics, you will:

  • Own the economics of pricing end to end: estimate travel demand and willingness to pay, build the structural models that turn those estimates into defensible price recommendations for our supply partners, and run the experiments that validate them.
  • Work collaboratively with other economists on paid marketing optimization problems across channels and geographies and funnel stages.
  • Work on the design of the marketplace itself; commission and incentive structures, inventory coverage, supply liquidity.
  • Partner closely with business leads in Marketing, Pricing, and Supply by translating ambiguous commercial questions into reasonable identification strategies that drive meaningful business outcomes.
  • Set the technical bar for empirical rigor at GetYourGuide: raise the quality of experiment design across teams, mentor analysts and data scientists.

Your toolkit

  • PhD in Economics, or a closely related quantitative discipline with a strong applied focus.
  • 5+ years of applied work after your PhD, including 2+ years at a marketplace or platform company.
  • Comfort with structural work: discrete choice and demand estimation, equilibrium and counterfactual simulation, and the industrial organization or market design toolkit for reasoning about mechanisms, incentives, and two-sided platform dynamics.
  • Expertise in causal inference: experimental design, difference-in-differences, synthetic control, regression discontinuity, double/debiased ML, and Bayesian approaches to media measurement.
  • The judgment to choose between these approaches for the problem in front of you, and to say clearly what each one can and cannot support.
  • Strong Python and SQL, and comfort working with production-scale data alongside data engineers and scientists.
  • A track record of your analysis influencing business decisions.
  • Genuine enthusiasm for stakeholder work: excellent written and spoken English, and the judgment to know when a simpler answer is the right one.

Extras that give you an edge

  • Pricing, demand estimation, or revenue management experience in a two-sided marketplace.
  • Market or mechanism design work in production: matching, ranking, allocation, or incentive systems that real users transacted through.
  • Experience working alongside ML and data science teams and shipping methods into production systems.

How we’ll make your career journey extraordinary

  • Annual personal growth budget and mentorship programs for continuous learning and development
  • Work from anywhere in the world for 30 days per year
  • A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time. 
  • Opportunities to collaborate and socialize  with a quarterly team event budget 
  • Access to leading AI tools plus the resources and budget to get the most out of them
  • Monthly transportation and fitness budget
  • Discounts for you, your friends, and family on GetYourGuide activities
  • Language reimbursement program
  • Health and wellness benefits

And more…

How to apply

Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘how we hire’ and ‘life at GetYourGuide’. If you have any further questions, please don’t hesitate to get in touch at jobs@getyourguide.com.

We’re an equal opportunities employer

Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application. 

 

#LI-Hybrid

 

How we rate this

Staff Economist, Marketplace Economics at GetYourGuide rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

EconometricsCausal InferenceExperimental DesignPricingMachine learning

Questions you could be asked

  1. Tell me about a project where econometrics was part of your work. What did you do?
  2. Tell me about a project where causal inference was part of your work. What did you do?
  3. Tell me about a project where experimental design was part of your work. What did you do?
  4. Tell me about a project where pricing was part of your work. What did you do?
  5. Tell me about a project where machine learning was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Econometrics, Causal Inference, Experimental Design, Pricing, and Machine learning. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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