Data Science Manager - Auction

Data Science Manager - Auction

Trivago

Düsseldorf, Germany

The Role:

As a Data Science Manager of the Auction team, you can have a direct impact on the mechanisms that govern the interaction of our 6 million daily users and our 400+ booking sites in real time. In this role, you'll be responsible for leading a team of data scientists and data engineers working on the design, implementation, and improvement of our auction model. Typical problems lie at the intersection of microeconomics (auction theory), experimental design, causal inference, and machine learning. This is a high impact role for someone who has a background in machine learning, microeconomics, or applied science with a proven track record of leading skilled data scientists.

How you’ll make an impact:

• Leverage the data science teams to develop and implement advanced data-driven solutions while keeping business priorities and technical feasibility in mind;
• Empower and support the team to develop their skills by reviewing and guiding their work;
• Closely collaborate and align with product managers, software and data engineers to solve problems and explore new business opportunities;
• Drive change and experimentation in our auction marketplace;
• Communicate results and insights to both technical and non-technical audiences;
• Determine new evaluation metrics and simulation techniques to better evaluate and anticipate test performances and long-term effects.

What we’re looking for:

• 5+ years’ practical experience working in data science, machine learning, or applied science;
• Solid background in applied science (optimization, machine learning, economics, statistics) and a good understanding of software engineering;
• A business-oriented mindset capable of translating business goals into actionable steps;
• Leadership capability, proven either through a formal leadership role or by leading key projects;
• Good communication skills and confidence in presenting ideas and findings to stakeholders;
• Deep understanding of advanced statistical concepts and experience with experimental design;
• Expert knowledge of either Python or R (and relevant packages), experience in Cloud Computing services, Spark or PySpark.

What makes you stand out:

• Knowledge in causal inference and Bayesian statistics;
• An understanding of game theory (auction theory) or microeconomics;
• A PhD in a quantitative field.

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