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Machine Learning Scientist III
Are you excited about solving real world problems using advanced machine learning at one of the largest online travel companies in the world? Expedia Group is a global leader in the travel industry. We connect millions of travelers to new experiences and people around the world. If you love to travel and like to bring joy to others, we'd like to hear from you!
Expedia’s Data and AI group is looking for a Machine Learning Scientist to join our Search Machine Learning team. In this role, you will develop machine learning models and data-driven solutions that bring intelligence to our search capabilities. You will contribute to highly visible features on our websites with direct impact to our travelers. With multiple brands and lines of businesses in our portfolio, Expedia Group has unparalleled and rich travel data and platform for you to explore new ideas and unlock significant value.
What You'll Do
Work with product management to understand business problems, identify challenges and machine learning opportunities, and scope solutions
Formulate machine learning problems, build data ETL pipeline, conduct exploratory data analyses, and develop effective models and scalable solutions
Partner with engineering teams to deliver your solutions into production and to provide ML expertise support
Document the technical details of your work
Present your ideas and results to stakeholders and leadership teams in a clear and effective manner
Collaborate and brainstorm with other team members and across the company
Who You Are
PhD or Master’s degree in a technical field; or equivalent related professional experience
3+ years of experience in building machine learning models in the industry
Solid understanding of modern machine learning theories and techniques, mathematics, statistics, and hypothesis testing
Hands-on experience with data wrangling, feature engineering, model building, and visualization
Fluency in Python programming and related machine learning tools (such as NumPy, Pandas, and scikit-learn), deep learning frameworks (such as TensorFlow or PyTorch), and SQL-like query languages (such as Spark)
Experience working with large data sets in a distributed computing environment
Effective written and verbal communication skills for both technical and non-technical audiences
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.
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.
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