Machine Learning Scientist II
Location
Gurgaon | India
Job description
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Machine Learning Scientist II The Expedia Group team in Geneva helps our customers to find and book the best travel for their needs, and our suppliers to 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 Machine Learning Scientist to join our growing Machine Learning 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, vacation rentals, air, cars...) 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.
What You'll Do - You will drive key machine learning initiatives, using data on billions of platform interactions across more than a million hotels and other travel products worldwide
- You will utilize advanced machine learning and statistical modelling approaches to impact the business and raise the bar of how we work
- You will use the latest cloud and data technologies to train and deploy your models at scale and support key business initiatives
- An outstanding test-and-learn culture is essential to thrive in this fast-moving industry
- You can handle both planned and ad-hoc work, own important data products, prioritize workload effectively, and thrive in a dynamic environment
- Communicating your findings and implications to your teammates and to business partners clearly and concisely is key
- You will apply data visualization principles consistently resulting in clear and consistent outcomes
- Build clear, concise and well-structured functional material (e.g. policies & and procedures, guidelines, presentations, messages) and recommends improvements to existing material
Who You Are - Bachelor's, Master's or PHD in a related technical field or equivalent related professional experience
- Experience in building data science project/products from A to Z
- Understanding along with excellent business acumen
- Experienced with Agile Methodologies working cross-functionally in a collaborative environment
- Experienced in Machine Learning Software Development Life Cycle
- Has significant experience in at least one major ML programming language (Python, Scala…) and is familiar with others
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®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™.
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Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals to whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs .
Expedia iscommittedto creating an inclusive workenvironmentwith 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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