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. 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. Responsibilities
Apply statistics, machine learning, and experimentation to improve ad delivery, ranking, auctions, and bidding performance. Collaborate with Product, Engineering, Machine Learning, and Analytics teams to design experiments and analyze large-scale datasets. Build self-service tools that inform decisions and drive continuous improvements 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 The total cash range for this position in Seattle is $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00, 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 $122,500.00 to $171,500.00. Employees in this role have the potential to increase their pay up to $196,000.00, 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. Benefits and Accessibility
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 and Inclusion
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.
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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. Responsibilities
Apply statistics, machine learning, and experimentation to improve ad delivery, ranking, auctions, and bidding performance. Collaborate with Product, Engineering, Machine Learning, and Analytics teams to design experiments and analyze large-scale datasets. Build self-service tools that inform decisions and drive continuous improvements 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 The total cash range for this position in Seattle is $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00, 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 $122,500.00 to $171,500.00. Employees in this role have the potential to increase their pay up to $196,000.00, 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. Benefits and Accessibility
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 and Inclusion
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.
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