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. Data Scientist II - Advertising Technology
Introduction to the team We are seeking a
Data Scientist II
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. Minimum Qualifications
Bachelor’s degree or higher in
Statistics, Economics, Computer Science, Data Science , or a related quantitative field 3–5 years
of professional experience in a
data science, applied science, or analytics
role Hands-on experience developing
machine learning and AI models
for real-world business problems, with
successful production deployment Strong foundation in
statistics and applied data analysis Hands-on experience
designing, running, and analyzing A/B experiments , and interpreting results to inform decisions Proficiency in
SQL
and experience working with
large-scale datasets
using
Spark or Databricks Proficiency in
Python
and experience using
ML frameworks
such as
PyTorch or TensorFlow
for analysis and modeling Strong communication skills, with the ability to clearly convey
analytical findings and recommendations
to both technical and non-technical stakeholders Preferred Qualifications
Experience working on
advertising, ad delivery, auctions, bidding, ranking, or marketplace systems Applied experience with
ML models used in ads , such as
CTR/CVR prediction, ranking, or optimization models Familiarity with
auction mechanics , including
first-price vs. second-price auctions, pacing, and budget constraints Experience working with
modern deep learning architectures , such as
Transformers/BERT, DCN, Graph Neural Networks, GANs, or diffusion models Background in
ads, marketplaces, e-commerce, or travel platforms Starting pay for this role will vary based on location, 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. We offer wellness and travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. Accommodation requests: If you need assistance with any part of the application or recruiting process due to a disability, 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 to 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.
#J-18808-Ljbffr
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. Data Scientist II - Advertising Technology
Introduction to the team We are seeking a
Data Scientist II
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. Minimum Qualifications
Bachelor’s degree or higher in
Statistics, Economics, Computer Science, Data Science , or a related quantitative field 3–5 years
of professional experience in a
data science, applied science, or analytics
role Hands-on experience developing
machine learning and AI models
for real-world business problems, with
successful production deployment Strong foundation in
statistics and applied data analysis Hands-on experience
designing, running, and analyzing A/B experiments , and interpreting results to inform decisions Proficiency in
SQL
and experience working with
large-scale datasets
using
Spark or Databricks Proficiency in
Python
and experience using
ML frameworks
such as
PyTorch or TensorFlow
for analysis and modeling Strong communication skills, with the ability to clearly convey
analytical findings and recommendations
to both technical and non-technical stakeholders Preferred Qualifications
Experience working on
advertising, ad delivery, auctions, bidding, ranking, or marketplace systems Applied experience with
ML models used in ads , such as
CTR/CVR prediction, ranking, or optimization models Familiarity with
auction mechanics , including
first-price vs. second-price auctions, pacing, and budget constraints Experience working with
modern deep learning architectures , such as
Transformers/BERT, DCN, Graph Neural Networks, GANs, or diffusion models Background in
ads, marketplaces, e-commerce, or travel platforms Starting pay for this role will vary based on location, 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. We offer wellness and travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. Accommodation requests: If you need assistance with any part of the application or recruiting process due to a disability, 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 to 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.
#J-18808-Ljbffr