Machine Learning Scientist III – Package Pricing at Expedia

Machine Learning Scientist III – Package Pricing at Expedia

Machine Learning Scientist III-Package Pricing

Introduction to the team

As part of the Machine Learning Science organization at Expedia Group, you’ll help build a scalable, intelligent pricing system that directly shapes how we balance volume and profitability across multiple lines of business. The decisions this system drives influence billions of dollars in revenue, and the work is visible at the highest levels of the company.

As a Machine Learning Scientist III, you’ll help define this system. You’ll tackle end-to-end pricing problems alongside a sharp team of ML scientists, data scientists, engineers, product managers, and operations analysts. You will contribute to an area of active scientific research: causal inference, mixed integer programming, and ML-based demand estimation.

In this role, you will:

• Design, build, and improve ML models and systems that power Expedia Group products, with a focus on measurable business and customer impact

• Perform end-to-end model development, including problem formulation, data exploration, feature engineering, training, evaluation, and deployment in production environments

• Develop robust data pipelines, data transformations, and data quality checks to ensure high-quality input signals for ML models and experimentation

• Partner with product, engineering, and analytics teams to translate business problems into ML solutions, define success metrics, and run experiments to validate impact

• Safely integrate and operate AI/ML‑enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products

• Contribute to system design (including model-serving APIs and supporting data models), documentation, and best practices that enable reuse and scalability across multiple product domains

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related technical field, or equivalent practical experience

• Professional experience as a Machine Learning Scientist or in a similar applied ML role, working on end-to-end model development and deployment in real-world products

• Proficiency in at least one programming language commonly used for ML (such as Python) and experience working with data processing frameworks, model training libraries, and model evaluation techniques

• Experience owning ML components or services in production, including monitoring model performance, maintaining data pipelines, and collaborating with engineering teams on APIs and data models

Preferred Qualifications:

• Advanced degree (master’s or PhD) in a quantitative discipline (e.g., Engineering, Statistics, Economics, or related fields)

• Experience working on pricing, revenue optimization, marketplace dynamics, or similar business problems

• Experience designing and analyzing experiments (e.g., A/B testing) and working with noisy or incomplete data

• Experience building ML models using user behavior, segmentation, or contextual signals

• Familiarity with causal inference methods or optimization techniques (e.g., mixed-integer programming) in applied settings

The total cash range for this position in Seattle is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, 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, 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.