Senior Data Scientist
Egencia LLC
Geneva, Switzerland
vor 4 Tg.


Brand Specific Description :

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 and partners to find and post the best accommodation supply on our travel platform, by transforming raw data into insights that power external and internal services.

This role is for a Senior Data Scientist to join our fast-growing Data Science team. Our mission is to help the organization understand, shape and optimize its hotel and vacation rental portfolio across the world.

We create state of the art machine learning models to make our travel platform more efficient and increase its relevance for travelers and hotel partners worldwide, for example by optimizing our lodging supply and forecasting demand.

Everything we do has measurable business impact. We build innovative algorithms and models that make intelligent, automated decisions, in batch and in real time, over most aspects of our lodging platform.

We collaborate closely with the analytics, market management, product and technology teams.

Position Overview :

In this position, you will drive key efforts of modelling lodging demand and supply, using data on millions of daily transactions across more than a million properties worldwide.

You will dive into state-of-the-art machine learning, deep learning and statistical modeling approaches, experiment and apply at scale to impact the business.

You will use the latest cloud and data technologies to train and deploy your models and power multiple downstream applications across the organization 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 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 machine learning frameworks
  • Gather and manipulate large volume of structured or unstructured data
  • Develop, assess, and iteratively improve algorithms based on state-of-the-art machine learning, deep learning and statistical methods
  • 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
  • Competencies :

  • Hands-on experience with a large array of machine learning algorithms, econometrics methods and / or Bayesian statistics
  • Expertise in Python, R or Scala; good programming practice, ability to write readable, fast code
  • Knowledge in deep learning algorithms and libraries (Keras, TensorFlow, Apache MXNET, ) 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.

  • 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
  • Experience and Qualification :

  • MSc or PhD (preferred) in a quantitative field like machine learning, computer science, statistics, applied mathematics / physics + some relevant industry seniority (3+ years)
  • Proven track record of applying innovative machine learning algorithms to business problems, building on state-of-the-art methods and tools
  • Proven track record of working in projects involving cross-functional teams
  • Hands-on experience with demand forecasting, time-series and count processes a plus
  • Relocation (Y / N) : Y

    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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