Machine Learning Scientist II

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.

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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

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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

href="">

Accommodation

Request .

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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.

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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

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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 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

href="">

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careers.expediagroup.com / jobs .

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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.