Data Scientist – Auction

TL;DR

Data Scientist (Auction): Designing and refining hirify.global’s two-sided marketplace, connecting travelers with hotels worldwide, with an accent on market design, causal inference, and machine learning. Focus on improving auction mechanisms, optimizing advertiser campaigns, and ensuring a fair & competitive marketplace.

Location: Hybrid in Düsseldorf

Company

hirify.global is a leading metasearch engine enabling millions of travelers to compare hotel prices from hundreds of booking sites and find great deals in just a few clicks.

What you will do

• Develop and optimize algorithms critical for maintaining a fair and healthy marketplace, including models for click-through-rate prediction, advertiser rate accuracy, and reserve price optimization.
• Collaborate with the auction backend engineering team to ensure the seamless operation of hirify.global’s marketplace.
• Work with stakeholders to find and display the best deals for our users.
• Analyze large-scale data to generate hypotheses about new product features and uncover long-term trends in marketplace behavior.
• Create statistical models to establish causal relationships between marketplace components.
• Design experiments, conduct, and analyze A/B tests.

Requirements

• At least 2 years of hands-on experience in an analytics-related field.
• A strong foundation in statistics and data analysis.
• An appreciation for economic reasoning, with a basic understanding of auction theory.
• Proficiency in at least one statistical programming language: Python or R.
• Experience working with SQL.
• Fluency in English.

Nice to have

• A PhD in a quantitative field (statistics/ML, economics, quantitative social science).
• A background in machine learning, econometrics, or causal inference.
• Experience with Bayesian statistics and probabilistic programming (Stan, PyMC or NumPyro).

Culture & Benefits

• Personalized coaching, workshops, educational meetups, conferences, free online learning courses, and access to a fully-equipped campus library.
• Visa support, a relocation package, interest-free newcomer loan, free language classes, regular team and company-wide events.
• Self-determined vacation (minimum of 25 vacation days), flexible working hours, up to 2 work from home days weekly, and the option to work remotely from Germany or selected countries abroad for up to 20 days per year.
• Free access to the Heycare platform for personalized nanny assistance, and an on-campus kids room.
• Daily canteen budget, complimentary snacks and drinks, on-site gym, sports classes, and Urban Sports Club membership.

Hiring process

• Video introduction
• Introduction call
• Technical Interview
• Interview with Stakeholders and Lead