Senior Data Scientist
Expedia Group
Geneva, Switzerland
vor 5 Tg.

Expedia

Are you passionate about the technology needed to drive a multi-billion dollar business? Do you love building creative, highly-scalable and expansible AI frameworks and solutions?

Is working on the next gen intelligent travel platforms to revolutionize the travel experience using AI / ML challenging and attractive to you?

As a Senior Data Scientist within Expedia Group, you will work with a dynamic teams of product managers and engineers across multiple organizations to deliver sophisticated, next-gen AI Machine Learning solutions.

Your vigorous STEM training and problem-solving skills are particularly important for this job function. You will contribute and make our young team become the industry-leading center of excellence for eCommerce AI and Automation.

Expedia is looking for Senior Data Scientists to join our teams in our Geneva Switzerland office. We are looking for highly capable Senior Data Scientists to utilize machine learning, advanced analytical and statistical techniques in order to power many of the products and features available on our website.

You will apply solid scientific skills, strong analytical and innovative thinking to quickly learn new domains and turn innovative ideas into working solutions

You will manipulate large data sets to build the next Expedia ML / AI capabilities

You will collaborate with business owners and engineers / developers to design and deploy complete solutions that comprise model building, runtime scoring and performance monitoring

Communicate complex analytical topics in a clean & simple way to multiple partners and senior leadership (both internal & external).

PhD degree in quantitative fields like Computer Science (Artificial Intelligence, Machine Learning, Natural Language Processing, Data Mining, Data Science), Mathematics, Statistics, Operations Research, Electrical Engineering

1-3 years of professional experience (including post-doc) in applied machine learning

Solid theoretical understanding of machine learning principles and algorithms (supervised / unsupervised, reinforcement learning, deep learning, optimization, recurrent models, adversarial learning, tree-based classification / regression )

Strong experience with machine learning frameworks like TensorFlow, PyTorch, Spark ML, Xgboost

Hands-on experience of machine learning in large scale environment, knowledge of Spark and distributed computing.

Experience of controlled experiment, experimental design, automated A / B testing, variance reduction techniques

Passion in solving problems and finding patterns and insights within structured and unstructured data

Excellent written and oral communication skills, including an ability to communicate across business areas.

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.

    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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