Overview
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.
Senior Data Scientist Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.
We are seeking a
Senior Data Scientist
to join our
high-performing Advertising Technology team , where we use data, experimentation, and applied modeling to improve
ad delivery, ranking, auctions, and bidding performance . This role sits at the intersection of
applied statistics, machine learning, experimentation, and large-scale advertising systems , turning complex business questions into measurable, data-driven insights.
You will work closely with
Product, Engineering, Machine Learning, and Analytics teams
to design experiments, analyze large-scale datasets, and build self-service tools that inform decisions and drive continuous improvement across the advertising marketplace.
In this role, you will:
Develop and deploy advanced machine learning models to solve complex business challenges and drive data-informed decision making.
Analyze large-scale datasets and design robust experiments to uncover actionable insights and optimize Expedia Group’s products and services.
Collaborate with cross-functional teams to architect and implement end-to-end data pipelines and intelligent systems that operate at production scale.
Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning.
Safely integrate and operate AI/ML‑enabled solutions that improve outcomes, ensuring models are reliable, ethical, and scalable.
Apply expertise in AI-driven systems, tools, or workflows, and leverage AI/ML concepts to deliver impactful real-world products across multiple domains.
Minimum Qualifications
Bachelor’s degree or higher in
Statistics, Economics, Computer Science, Data Science , or a related quantitative field
6–8+ years
of professional experience in
data science, applied science, or analytics
roles
Proven experience developing and deploying
ML and statistical models
for real-world business problems at scale
Deep expertise in
statistics, applied data analysis, and experimentation design
Strong experience
designing, executing, and interpreting A/B and causal experiments , including identifying confounders and limitations
Advanced proficiency in
SQL
and experience working with
large-scale datasets
using
Spark or Databricks
Proficiency in
Python
and experience with
ML frameworks
such as
PyTorch or TensorFlow or MxNet
Experience working with
modern deep learning architectures , such as
Transformers/BERT, DCN, GNNs, GANs, or diffusion models
Excellent communication skills, with the ability to
influence decisions
and clearly explain complex analyses to senior technical and non-technical stakeholders
Preferred Qualifications
Significant experience working on
advertising or marketplace systems , including
ad delivery, auctions, bidding, ranking, or pricing
Applied experience with
ML models used in ads , such as
CTR/CVR prediction, ranking, or optimization models
Strong understanding of
auction mechanics
(first-price vs. second-price, pacing, budget constraints) and marketplace dynamics
Experience with
incrementality measurement, causal inference, and policy evaluation
in production environments
Ability to
mentor junior data scientists , set analytical standards, and review others’ work
Background in
ads, marketplaces, e-commerce, or travel platforms
The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
The total cash range for this position in San Jose is $187,000.00 to $261,500.00. Employees in this role have the potential to increase their pay up to $299,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
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 .
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 Group is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee\'s I-9 to confirm work authorization.
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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.
Senior Data Scientist Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.
We are seeking a
Senior Data Scientist
to join our
high-performing Advertising Technology team , where we use data, experimentation, and applied modeling to improve
ad delivery, ranking, auctions, and bidding performance . This role sits at the intersection of
applied statistics, machine learning, experimentation, and large-scale advertising systems , turning complex business questions into measurable, data-driven insights.
You will work closely with
Product, Engineering, Machine Learning, and Analytics teams
to design experiments, analyze large-scale datasets, and build self-service tools that inform decisions and drive continuous improvement across the advertising marketplace.
In this role, you will:
Develop and deploy advanced machine learning models to solve complex business challenges and drive data-informed decision making.
Analyze large-scale datasets and design robust experiments to uncover actionable insights and optimize Expedia Group’s products and services.
Collaborate with cross-functional teams to architect and implement end-to-end data pipelines and intelligent systems that operate at production scale.
Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning.
Safely integrate and operate AI/ML‑enabled solutions that improve outcomes, ensuring models are reliable, ethical, and scalable.
Apply expertise in AI-driven systems, tools, or workflows, and leverage AI/ML concepts to deliver impactful real-world products across multiple domains.
Minimum Qualifications
Bachelor’s degree or higher in
Statistics, Economics, Computer Science, Data Science , or a related quantitative field
6–8+ years
of professional experience in
data science, applied science, or analytics
roles
Proven experience developing and deploying
ML and statistical models
for real-world business problems at scale
Deep expertise in
statistics, applied data analysis, and experimentation design
Strong experience
designing, executing, and interpreting A/B and causal experiments , including identifying confounders and limitations
Advanced proficiency in
SQL
and experience working with
large-scale datasets
using
Spark or Databricks
Proficiency in
Python
and experience with
ML frameworks
such as
PyTorch or TensorFlow or MxNet
Experience working with
modern deep learning architectures , such as
Transformers/BERT, DCN, GNNs, GANs, or diffusion models
Excellent communication skills, with the ability to
influence decisions
and clearly explain complex analyses to senior technical and non-technical stakeholders
Preferred Qualifications
Significant experience working on
advertising or marketplace systems , including
ad delivery, auctions, bidding, ranking, or pricing
Applied experience with
ML models used in ads , such as
CTR/CVR prediction, ranking, or optimization models
Strong understanding of
auction mechanics
(first-price vs. second-price, pacing, budget constraints) and marketplace dynamics
Experience with
incrementality measurement, causal inference, and policy evaluation
in production environments
Ability to
mentor junior data scientists , set analytical standards, and review others’ work
Background in
ads, marketplaces, e-commerce, or travel platforms
The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
The total cash range for this position in San Jose is $187,000.00 to $261,500.00. Employees in this role have the potential to increase their pay up to $299,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
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 .
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 Group is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee\'s I-9 to confirm work authorization.
#J-18808-Ljbffr