Data Scientist, Growth Data Products

As a Data Scientist, you'll join our Growth Data Products team and have a chance to make an enormous impact. The vast and diverse set of structured and unstructured data GetYourGuide has collected powering data products such as search, recommendations, SEM, or incentives. We have touchpoints across the business and aim to develop end-to-end solutions.

About GetYourGuide

GetYourGuide is the globally leading marketplace for unforgettable travel experiences. Travelers use GetYourGuide to discover the best things to do in a destination. Since its founding in 2009, people from all over the world have booked more than 150 million tours, activities, and attraction tickets through GetYourGuide. Powered by a global team of over 800 travel experts and technologists, we are headquartered in Berlin and have 17 local offices around the world. Visit our careers website to learn more.

Team mission

The Growth Data Products team builds data products in partnership with teams such as Paid Search, Customer Engagement and Partner Tech. The team's primary focus is increasing GYG presence in diverse marketing channels, improving customer loyalty, and optimizing the return on our whopping advertising budgets. Our algorithms help reach and engage millions of travelers throughout their journey to discover and book GetYourGuide's vast inventory. Our Data Scientists and MLOps Engineers work closely together to ship and operate data products.

You will:

• Build data products that delight our customers and contribute to company success
• Own your projects from the business problem to the code in production, including ...
• … the analysis of vast amounts of data
• … the development and maintenance of data pipelines
• … the monitoring of your data products after deployment
• Contribute to our machine learning infrastructure and best practices
• Make your team more extraordinary via continuous improvements and your support in recruiting

Who you are

• Excellent written and verbal communication skills in English.
• Machine Learning You apply regressors, classifiers, and recommenders. You understand in detail the underpinning of ML techniques. Applied experience in setting machine learning models into production is a plus.
• Software Engineering You are fluent in the Python programming language. Working  knowledge of distributed machine learning and computing framework (Spark) is a plus.
• Analytics You can transform data into wisdom. You know how to test hypotheses. You are proficient with an analytics tool (pandas, R) and with SQL.
• Business Experience You applied the skills mentioned above in a business environment for a few years. A track record of result-driven work gives evidence of this.
• Academic Background You have an advanced degree in a quantitative field and can quickly learn new skills or techniques.

Check out our blogs!

• Position Spotlight Data Scientist
• Prepping for a Data Science Interview - Ask yourself these questions to stand out
• GetYourGuide Core Values

How we set you up for success:

• Invest in your development with an annual personal growth budget
• Create a comfortable workspace at home with an annual home office budget
• Enjoy flexibility with a hybrid work-from-home and telecommuting policy
• Save on transportation costs with discounted public transportation tickets
• Support your loved ones with generous maternity and paternity leave policies

And more...

We look forward to hearing from you

Unlock your full potential and join our mission to create unforgettable experiences for millions around the world. If you have the skills and passion for joining our team, we invite you to apply by submitting your CV/resume in English through the form below. Check out how we hire for tips and visibility into our process and check out life at GetYourGuide. If you have any further questions, please do not hesitate to contact us via jobs@getyourguide.com.

We are an equal opportunity employer

Our commitment is that every qualified person will be evaluated according to skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with the application. 

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