Job Description

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.

DS Analytics III - Fraud & Risk

=====================================


Our Corporate Functions are made up of teams that support Expedia Group, including Employee Communications, Finance, Traveler and Partner Service Platform, Legal, People Team, Inclusion and Diversity, and Global Social Impact and Sustainability.


We're looking for a high-performing

Fraud Data Scientist

who thrives on solving complex problems, uncovering hidden patterns, and driving impact through data. In this role, you'll be a key individual contributor, leveraging advanced analytics and machine learning to detect and prevent fraud, protect our customers, and influence strategic decisions.


You'll operate with a high degree of autonomy, lead analytical workstreams, and mentor junior team members. You'll collaborate closely with cross-functional partners- including Product, Engineering, Risk, and Operations- and regularly engage with stakeholders up to the Director level.


Fraud is constantly evolving- and so are we. As a Fraud Data Scientist, you'll play a critical role in shaping how we detect and respond to emerging threats. Your work will directly impact customer trust, financial performance, and the integrity of our platform.

In this role, you will:

Lead fraud analytics projects from scoping to delivery, including

feature engineering, model evaluation

, and

business impact analysis

. Collaborate with stakeholders to

refine business questions

, define success metrics, and ensure alignment with fraud prevention goals. Apply

supervised and unsupervised learning

to detect fraud patterns, reduce false positives, and improve customer experience. Design and evaluate

experiments

(e.g., A/B tests, pre/post analysis, causal impact) to measure the effectiveness of fraud interventions. Build and maintain

modular, scalable code

and contribute to shared analytics libraries and documentation. Translate complex findings into

clear, actionable insights

through storytelling, dashboards, and presentations. Mentor junior analysts and contribute to a culture of

collaboration, learning, and continuous improvement

.

Leverage AI tools and emerging technologies

to work smarter, automate repetitive tasks, and accelerate insight generation.

Experience &

Qualifications:

Bachelor's in Math/Statistics/Computer Science or related with 4+ years work experiences in data science/analytics (preferably fraud, risk, or Trust & Safety field), or Master's in Math/Statistics/Computer Science or related with 2+ years work experiences in data science/analytics (preferably fraud, risk, or Trust & Safety field) Proven track record of delivering data-driven insights that led to measurable business outcomes. Proficient in

Python, SQL, and/or R

for data manipulation, modeling, and visualization. Experience working with

large-scale datasets

and building

reproducible analytics pipelines

. Solid understanding of

statistical methods

(e.g., regression, ANOVA, A/B testing, causal inference). Familiarity with

machine learning techniques

(e.g., classification, clustering, anomaly detection) and their application in fraud detection. Strong data visualization skills using tools like

Plotly

, Seaborn,

ggplot

, or similar. Understanding

inclusive design principles

and ability to communicate insights to both technical and non-technical audiences.

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(TM) Media Solutions, Expedia Local Expert, CarRentals.com(TM), and Expedia Cruises(TM). 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.