Senior Machine Learning Scientist
Location: Seattle, Washington
Job Type: Full time
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Senior Machine Learning Scientist
Welcome from the Traveler Enlightenment team at EG. We improve the traveler experience searching, tracking, and booking travel by providing recommendations and insights to travelers. We work on many types of problems, including price forecasting, optimal route planning and smart communications. We work closely with other teams in the Data Science and Analytics organization to continually improve our tools, processes, and platforms for building and deploying industry leading Machine Learning solutions.
By helping to optimize the traveler experience, our team contributes significantly to increased booking and retention at Expedia. As a Machine Learning Scientist on our team, you will work with a dynamic group of product managers, engineers, and scientists to achieve Expedia’s business goals.
What you’ll do:
You will design end-to-end model pipelines based on a detailed understanding of business requirements
You will stay abreast of developments in machine learning via publications and conferences
You will act as a technical mentor for junior team members
You will design and implement model performance measurement and evaluation techniques to suit customized machine learning solutions
You will build complex charts with limited supervision
You will display advanced domain knowledge, business acumen, and critical reasoning skills
You will select approaches that solve for the objective, not the ask
You will manage stakeholders with frequent communication and expectation management, meeting deadlines and minimizing surprises
You will frame challenging business problems as a data science problem and concrete set of tasks
You will proactively contribute to cross team collaboration and lead alignment of work with broader initiatives
You will write code that is clean, maintainable, optimized, and modular
Who you are:
Bachelor's or Master’s or PhD in a quantitative field or a related field; or equivalent related professional experience
5 years of industry experience as a Data Scientist or similar role
Expert in the Python data science stack
Significant experience using Spark for production machine learning pipelines
Industry experience in time-series analysis and forecasting
Industry experience in operations research
Demonstrated ability to build and maintain multiple data science projects/products in production environments
Excellent grasp of statistical concepts and methods
Industry experience with hypothesis testing
Active participant in technical community, such as blog posts, tech talks, open-source contributions, or data mining competitions
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 is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.