Machine Learning Scientist II
Expedia
Machine Learning Scientist II
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India - Bangalore
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Technology
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Full-Time Regular
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08/29/2025
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ID # R-97506
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Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.
Are you passionate about using machine learning to improve Customer Experience? Would you like to work in the fast-paced, competitive, customer-focused, and data-rich world of online travel?
Our Machine Learning and Data Science team are growing! We are looking to hire researchers and data scientists interested in breaking new ground to tackle some of the most complex computational problems in the travel domain. The focus of your job will be on developing state-of-the-art machine learning algorithms to power various aspects of highly complex travel searches, recommendations and advertising.
This is your opportunity to build the core algorithms that drive Expedia Group's advertising marketplace. We are looking for a hands-on scientist who is passionate about applying machine learning to complex prediction and optimization problems that drive a global ecosystem of advertising partners and millions of travelers across Expedia Group’s B2C and B2B platforms.
What you’ll do
Implement & Validate ML Models: you will implement, test, and validate machine learning models, taking features from concept to production.
Test, Learn, and Iterate: Design and analyze rigorous A/B tests to validate your models and quantify their business impact. Proactively monitor model performance and iterate to improve it.
Collaborate and Learn: Partner effectively with senior scientists, engineers, and product managers to understand requirements and contribute to solutions. You will be expected to continuously learn and develop a deeper understanding of our data, infrastructure, and problem space.
Who you are
Experience & Education
PhD or MS in a quantitative field (e.g., Computer Science, Economics, Statistics, Physics).
1-3 years of hands-on industry experience building and deploying machine learning models to solve real-world problems.
Functional & Technical Skills
ML & Statistical Fundamentals: A strong foundation in machine learning theory (e.g., Supervised/Unsupervised Learning) and core statistical concepts. A strong grasp of the tools needed to measure impact, including experimental design (A/B testing).
Technical Fluency: Proficiency in Python and its data science ecosystem (e.g., scikit-learn, pandas). Experience with SQL for data querying is essential. Follow software engineering best practices and contribute to the team's shared codebase.
Collaborative Problem Solving: You are a strong collaborator who can effectively partner with teammates to break down problems and implement solutions.
Highly Desired Experience
Domain knowledge in online advertising or e-commerce.
Experience building and deploying models using GenAI/LLM technologies
Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
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™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
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 with 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, religion, gender, sexual orientation, national origin, disability or age.