Data Scientist - Bidding and Recommendations
Location
Düsseldorf | Germany
Job description
At trivago, we believe that finding the perfect hotel can be simpler and more convenient. Our leading metasearch engine is super fast and constantly optimized - enabling millions of travelers to easily search for hotels across several booking sites and find the best deals. Complemented by cutting-edge technology, real-time auction, and machine learning techniques, we use petabytes of data to create an exceptional user experience, delivering attractive hotel deals in one search. This experience is only made possible, thanks to our skilled talents united in our campus in Düsseldorf, Germany and working to shape the future of travel.
Join us in making a difference
As a Data Scientist in the trivago bidding and recommendations team, you'll have a direct impact on the mechanisms that govern trivago’s marketplace and monetization. You will design, implement, and improve our bidding algorithms and evaluate their performance on live data. By working closely with auction, ranking, engineering, and sales teams, your mission will be to optimize the bidding strategy and help advertisers to spend marketing budget and maximize incremental value. If you have a background in algorithm development, machine learning, or predictive analytics and enjoy finding solutions to tricky problems, apply today!
Get an inside look at data science at trivago:
How you’ll make an impact:
- Evaluate algorithm performance to identify improvement opportunities by understanding the balance between short and long-term trends
- Push new ideas into production and apply state-of-the-art models while keeping business priorities, trade-offs, and technical feasibility in mind
- Design and analyze large-scale A/B tests to continuously improve and iterate on trivago's bidding algorithms
- Create, develop, and maintain metrics on dashboards to measure the value generated for our users, advertisers, and trivago
- Proactively communicate, share your conclusions, and explain complex topics tailored to diverse audiences
- Propose and develop new products to support the campaigns of our advertisers
What you’ll need to thrive:
- At least 4 years of experience working in data science or machine learning
- A degree in computer science, mathematics, statistics or another quantitative discipline
- An exceptional understanding of data analysis, statistics concepts, and A/B testing
- Experience working with SQL and knowledge of big data technologies (Hive, Impala, Spark, etc.)
- Proficiency in programming in Python and relevant data manipulation packages (e.g. pandas, pyspark)
- Excellent communication skills (both verbal and written) and confidence in presenting ideas and findings to stakeholders with the right level of detail
- Ability to work well independently, understand data science fundamentals, be meticulous, and prioritize effectively
What makes you stand out:
- Experience working with Google Cloud Platform
- Experience with Bayesian statistics and probabilistic programming in tools like Stan, PyMC, or TensorFlow Probability
- Solid organizational and multitasking skills with the ability to balance multiple priorities
Worried about missing a few requirements? Still apply, and express your motivation as you may just be the right candidate for this or other roles!
What you can look forward to:
- Enjoy flexible working hours and the generous time-off option offered through our self-determined vacation policy
- Savor your meals with a daily budget of 6.90€ for our canteen , complemented by free snacks and drinks on campus
- Have access to health insurance coverage for you and your family's well-being
- Prepare for the future with our company pension plan
- Settle in Düsseldorf with a relocation package suited to you and your family’s needs
- Save on commuting costs with a subsidized company ticket for public transportation and campus parking
- Stay fit and active using our free on-campus gym , complete with sports classes
- Support your development through free access to personal and professional coaches , and psychologists on Likeminded
- Achieve work-life harmony through our hybrid model with 2 days per week mobile work
- Work with cutting-edge technology and tools to enhance productivity
- Satisfy your wanderlust with the opportunity to work from abroad for up to 20 days annually
- Join educational campus meetups with colleagues and externals, fostering valuable learning and networking experiences
Thank you for considering a career at trivago! Our commitment to fostering an inclusive and enriching environment for all talents is at the heart of what we do. We understand that embarking on a new job opportunity is a blend of excitement and curiosity. Should any questions arise before you apply, feel free to reach out to us at [email protected] . Join us in our mission to make a positive impact on global travel, w e look forward to your application!
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