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Machine Learning Scientist III

Expedia

Expedia

Software Engineering
Bengaluru, Karnataka, India
Posted on Aug 30, 2025
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Machine Learning Scientist III

  • India - Bangalore

  • Technology

  • Full-Time Regular

  • 08/29/2025

  • ID # R-97505

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

  • Design & Implement ML Solutions: Take ownership of the end-to-end ML lifecycle for your projects, from ideation and research to deployment and monitoring.

  • Test, Learn, and Iterate: Design and analyze tests to validate your models and quantify their business impact and design future iterations.

  • Collaborate and Communicate: Partner closely with product managers, engineers, and business stakeholders to understand requirements, define problems, and communicate your findings and results effectively.

Who you are

Experience & Education

  • PhD or MS in a quantitative field (e.g., Computer Science, Economics, Statistics, Physics).

  • 3+ years of hands-on industry experience building and deploying machine learning models to solve real-world problems.

Functional & Technical Skills

  • Expertise in applied ML: Deep, practical knowledge of machine learning theory (supervised/unsupervised learning, deep learning) and statistical modeling and a strong command of experimental design (A/B testing) and causal inference to accurately measure impact.

  • Technical Fluency: Strong programming skills in Python and its data science ecosystem (e.g., pandas, scikit-learn, pySpark), plus proficiency in SQL. Follow software engineering best practices and contribute to the team's shared codebase.

  • First-Principles Problem Solver: Skilled at dissecting ambiguous problems and clearly communicating complex technical ideas.

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.