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Data Scientist III - Partner Marketing

Switzerland - Geneva

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Would you like to solve real world problems using advanced machine learning for the largest online travel company worldwide? 

The Expedia Group team in Geneva helps our customers find and book the best travel for their needs, and our suppliers compete effectively and grow their business on our travel platform. Our travel platform is powered through transforming raw data into insights that both suppliers and customers can leverage. 

This role is for a Data Scientist to join our growing Data Science team.  We create state of the art machine learning models to make our travel platform more effective and efficient, increasing its relevance for travelers and travel partners (e.g. hotels) worldwide. For example, we build models to forecast demand, to identify and address competitiveness gaps, and to give guided recommendations on how hotels can grow their business on our platform.  

We strive to ensure everything we do has measurable business impact. We build innovative algorithms and models that make intelligent, automated decisions, both in batch and in real time. We collaborate closely with the analytics, market management, product and technology teams.  

In this position you will work closely with our partner marketing team, that oversee our communication and branding to hotels, vacation rentals, airlines, car hire companies, and other travel providers globally. You will aid them in optimizing marketing spend, validating the financial return of advertising activities, and leveraging the huge breadth of our data to get the most from our communications. 

Responsibilities will primarily include test design, incrementality and causal modelling, churn modelling. You will also be expected to work on a range of other initiatives in a supporting role, to further enable the success of our partner marketing group. You will liaise directly with some of the largest online marketing platforms in the world, to understand how we can get the most from the functionalities and capabilities they offer. 

You are technically strong and possess excellent business acumen and communication skills. You can handle both planned and ad-hoc work, own important data products, prioritize workload effectively, and thrive in a dynamic environment. You are self-motivated, a fast learner and work well under pressure to meet deadlines. Communicating your findings and implications to your teammates and to business partners clearly and concisely is key.  

 

Responsibilities 

  • Understand business challenges and formalize them into appropriate statistical & machine learning frameworks. Specifically, this will include metric definition, test design, statistical analysis, and designing ML models for production deployment. 

  • Gather and manipulate large volumes of structured and unstructured data from a range of sources 

  • Collaborate extensively with business partners, program management, and engineering teams to ensure that solutions meet business needs and have functional feasibility and robustness 

  • Communicate in a clear and concise manner to your peers and business stakeholders 

  • Develop a sound understanding of the business, the data and the technology stack to find new business applications of data science and challenge the thinking of people around you 

  • Keep abreast of latest data science development and coach the team on them 

 

Skillset 

Background 

  • MSc or PhD in a quantitative field like machine learning, computer science, statistics, applied mathematics/physics + some relevant industry seniority (3+ years) 

  • Proven track record of applying complex statistical methods to business problems 

  • Proven track record of working in projects involving cross-functional teams 

  • Experience in online marketing, travel, or test design are all considered a plus 

 

Technical 

  • Hands-on experience with a large array of statistical techniques and econometrics methods 

  • Expertise in Python or R; good programing practice, ability to write readable, fast code (Scala a plus) 

  • Good understanding of data technologies; Hadoop, Hive, Spark, and standard relational database structures along with query languages (SQL); experience with the cloud services (AWS, Qubole, Databricks) a plus  

  • Familiarity with software engineering best practices, including version control, release management, incremental delivery, test-driven development, unit testing etc. 

  • Familiarity with data visualization software such as Tableau, ClickView, Looker, PowerBI a plus 

 

Business sense and Communication 

  • Ability to understand a business problem, identify key challenges, formalize the problem from a data and algorithm perspective, and prototype solutions 

  • Ability to distill a complex product down to key metrics for success, and design robust methodologies for testing the impact of various interventions on those metrics 

  • High intellectual curiosity and willingness to tackle complex/technical problems to generate actionable business insights 

  • Strong verbal and visual communication skills 

About Expedia Group 

Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, Egencia®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™.  

© 2021 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
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R-60672

Job Category
Technology Group

Job Function
Data Science

Location
Switzerland - Geneva

Job Type
Full-Time Regular

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