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Data Scientist I

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, suggest prices and deals, provide automated conversational AI, and 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 leverage large volumes of data and apply techniques such as machine learning, data mining and econometric modeling to build models and algorithms to enhance software and answer critical business questions. You will use the latest cloud and data technologies to train and deploy your models at scale and support key business initiatives. Outstanding test-and-learn culture is essential to thrive in this fast-moving industry; if you can prove the positive impact of your approaches, you will quickly see them in production.

You are technically strong and possess excellent business acumen and communication skills. You can manage multiple tasks simultaneously, own deliverables end to end, 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.

Who you are

  • MSc or PhD in a quantitative field like machine learning, computer science, statistics, applied mathematics/physics

  • Hands-on experience with various machine learning and econometrics algorithms, with proven ability to extract and combine data from multiple sources, converting raw data into automated, actionable insights

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

  • Facility with SQL-like query language to do data extraction, transformation and loading

  • Experience working with large datasets in a distributed environment like Hadoop or Spark and with cloud services (AWS, Qubole, Databricks) a plus

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

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

  • Strong verbal and visual communication skills.

​What you will do

  • Understand business challenges and formalize them into appropriate machine learning frameworks

  • Gather and manipulate large volume of data, build datasets, select and engineer model features

  • Develop, assess, and iteratively improve predictive models using advanced machine learning and statistical methods; Be able to debug and correct data assumptions through testing

  • Collaborate 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 good understanding of the industry, our data landscape and how data science can help optimize the work of our business partners

  • Keep abreast of latest data science development and share knowledge with the team

  • Fulfill ad-hoc requests for data and analysis.

Why join us?

Expedia Group recognizes our success is dependent on the success of our people. We are the world's travel platform, made up of the most knowledgeable, passionate, and creative people in our business. Our brands recognize the power of travel to break down barriers and make people's lives better – that responsibility inspires us to be the place where exceptional people want to do their best work, and to provide them the tools to do so.  

Whether you're applying to work in engineering or customer support, marketing or lodging supply, at Expedia Group we act as one team, working towards a common goal; to bring the world within reach. We relentlessly strive for better, but not at the cost of the customer. We act with humility and optimism, respecting ideas big and small. We value diversity and voices of all volumes. We are a global organization but keep our feet on the ground, so we can act fast and stay simple. Our teams also have the chance to give back on a local level and make a difference through our corporate social responsibility program, Expedia Cares.

If you have a desire to make a difference with one of the most loved consumer brands in the world and to work in the dynamic travel industry, this is the job for you.

Our family of travel brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Egencia®, trivago®, VRBO®, Orbitz®, Travelocity®, Wotif®, lastminute.com.au®, ebookers®, CheapTickets®, Hotwire®, Classic Vacations®, Expedia® Media Solutions, CarRentals.com™, Expedia Local Expert®, Expedia® CruiseShipCenters®, SilverRail Technologies, Inc., ALICE and Traveldoo®.

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-56437

Job Category
Technology Group

Job Function
Data Science

Location
Switzerland - Geneva

Job Type
Full-Time Regular

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