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Expedia Group

Sr. Data Scientist - Advertising Technology

Posted 7 Hours Ago
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Hybrid
Seattle, WA, USA
173K-299K Annually
Senior level
Hybrid
Seattle, WA, USA
173K-299K Annually
Senior level
Lead development and deployment of ML and statistical models for ad delivery, ranking, auctions, and bidding. Analyze large-scale data, design experiments, build production data pipelines and self-service tools, mentor teams, and ensure reliable, ethical AI/ML solutions.
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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.

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 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, veteran status, or any other characteristic protected by law. 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.
HQ

Expedia Group Seattle, Washington, USA Office

1111 Expedia Group Way W., Seattle, WA, United States, 98119

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