Data Scientist - Ranking

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Trivago

Develop our ranking algorithm by integrating various input data and experimenting with customized ranking approaches.
Design and analyze large scale A/B tests to continuously improve and iterate upon trivago's ranking algorithms.
Apply observational causal inference and other statistical methods (e.g. Bayesian analyses) to extract pragmatic insights and guide the development of trivago’s ranking algorithms.
Evaluate algorithm performance and identify improvement opportunities and optimization potential.
Push to bring new ideas into production and apply state-of-the-art models while always keeping business priorities and technical feasibility in mind.
Determine new metrics and simulation techniques to better evaluate and anticipate test performances.
Proactively share your conclusions and explain complex topics tailored to the audience.

Master’s or Ph.D. in Computer Science, Artificial Intelligence, Statistics, Operations Research, Mathematics, Electrical Engineering, or related fields.
Over 4 years of work and/or research experience in the machine learning field, with a strong understanding of machine learning principles and a keen interest in applying them at scale.
Exceptional grasp of data analysis and statistics concepts, with practical experience in applying these techniques.
Familiarity with one of the following areas: AdTech, online marketplace, ranking, recommender systems or personalization.
Proficiency in handling large datasets to solve complex problems.
Hands-on experience with Python and SQL with the ability to write reusable and efficient code to automate machine learning pipelines and data processes.
Familiarity with deep learning libraries such as TensorFlow and/or PyTorch is highly desirable, along with experience in Spark and GCP.
Good communication skills and confidence in presenting ideas and findings to stakeholders.
You can work well independently and prioritize effectively to maximize outcomes.