Data Scientist - User Profiling

 StepStone ·  14.05.2018 ·  Düsseldorf ·  trivago N.V.

trivago GmbH Do you want to join a team of entrepreneurs from over 50 different nationalities? To work in an environment powered by passion where no two days are the same? At trivago we use the latest innovative technologies to empower our users to find their ideal hotel 100 times a second, across 55 different locales world-wide and in 33 different languages. Data Scientist - User Profiling Join our user profiling team and help improving the personalized user experience of trivago. We are looking for someone who is interested in working with state-of-the-art machine learning techniques to capture preferences of visitors coming to our website. You will work in a cross-functional team to create a real-time user profiling service used by several teams across the company providing a personalized user journey for our visitors. You need to solve various challenges related to data science (e.g. data crunching, specification of objectives, optimization of algorithms, designing scalable real-time solutions) for which our team offers a great freedom to solve. You will be able to evaluate how your contribution helps millions of users to find their ideal hotel in a global platform. What you'll do: Perform analysis and provide insights about the behavior of our visitors in various use cases. Propose machine learning techniques that capture their preference and predict their intents in accommodation search process. Analyze our current user profiling system, discover weaknesses, propose improvements. Contribute in the implementation of these methods to real-time service. Optimization, A/B testing and fine tuning of user profiling service for various purposes, e.g. personalized recommendations, targeting, frontend optimization. Working in a cross-functional team with Big Data Analysts, Data Engineers, Data Scientists, Software Engineers and Product Owners in product development. What you'll definitely need: Master's degree in a quantitative field (e.g. Computer Science, Mathematics, Statistics, Physics, Engineering, Finance, etc.). 3+ years of working experience dealing with problems related to data analysis and machine learning. Hands-on experience in at least one scripting language for data science (preferably Python or R). Proficiency in supervised learning models, optimization techniques and statistics. Solid knowledge of SQL. Experience with distributed computing tools (e.g. Spark, H2O, TensorFlow). Excellent communication and data storytelling skills. Fluency in English. Nice-to-have: Experience in product development for real-time service. Experience with Recommender System frameworks or libraries. Solid knowledge of a general purpose object-oriented programming language (e.g. Java, Scala, C++, PHP, Python). Experience with NoSQL databases (e.g. DynamoDB, Cassandra, Redis). Life at trivago is: The belief that factual proof, not seniority, determines which path to take. Self-determined working hours based on measuring productivity through goals rather than number of hours spent in the office. Being supported in all your needs, including relocation assistance and language classes for international arrivals. The freedom to embrace small-scale failures as a path to large-scale success. The opportunity to develop personally and professionally with regular free workshops, seminars, sports and activities. The ability to push your ideas through to execution without being held back by bureaucracy. Working at our head office in Düsseldorf, a city boasting the 6th highest quality of life in the world for expats. To find out more about life at trivago follow us on Facebook - @lifeattrivago. Additional information: trivago N.V. is an equal opportunity employer. Applications from individuals with disabilities are welcome. trivago N.V. Bennigsen-Platz 1 40474 Düsseldorf Deutschland Apply now — ein Projekt von DIPLANET Digital Solutions Impressum