Machine Learning Scientist III - Customer Lifetime Value

11105 Expedia, Inc.; Austin (TX); On-site; USD 138,000 - 193,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

PTO and EAP

Travel reimbursement

IATAN travel discounts

Job summary

Expedia Group is advancing a high-impact CLV prediction initiative. As a Machine Learning Scientist III, you’ll lead scalable ML/DS work end-to-end and collaborate across product, engineering, marketing, and more to maximize long-term traveler value.

You’ll influence foundational modeling decisions, work with cross-functional teams, and help shape the research direction in a fast-paced environment.

Qualifications

• Advanced degree in Computer Science, Statistics, Operations Research, Econometrics, Economics, or related field.
• 3–5+ years of professional experience; equivalent project or research experience accepted.
• Hands-on experience building large-scale prediction models with advanced deep learning like transformers.
• Ability to analyze large datasets and derive actionable insights.

Responsibilities

• Lead research and implementation of scalable ML/data-science solutions end-to-end with engineering rigor.
• Apply causal analysis to understand drivers of customer lifetime value and signals affecting CLV.
• Design/back-test methods to evaluate model performance in development and production.
• Translate findings into actionable insights for technical and non-technical stakeholders.
• Break down ambiguous business requirements into data-driven solutions.
• Stay informed on ML/AI research with internal learning resources and collaboration.

Skills

Python

Deep learning

Transformer models

Big data

Data analysis

Education

Advanced degree in CS/Statistics

Tools

Spark

Job description

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. Here, you’ll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere. The Marketplace Machine Learning Science team is owning a high-impact initiative focused on Customer Lifetime Value (CLV) — a key business metric that will shape long-term company performance and executive decision‑making. As a Machine Learning Scientist III, you will lead efforts to build next iterations of CLV prediction frameworks that optimize how we serve millions of travelers globally. This is a high‑visibility role with direct exposure to executive leadership and cross‑functional teams across product, engineering, marketing, customer service, pricing, and more. You’ll be joining an early phase initiative with strong leadership support and urgency to deliver high business impact starting immediately. This role offers a rare opportunity to shape how Expedia Group measures and optimizes long‑term customer value. You’ll be part of a machine learning science team just started the evolution of existing CLV prediction framework, giving you the chance to influence foundational modeling decisions and build scalable solutions to shape the team’s future strategic direction.

In this role, you will:

• Lead the research and implementation of scalable machine learning and data science solutions end-to-end with engineering rigor
• Apply causal analysis to understand drivers of customer lifetime value and identify more important customer signals to improve CLV prediction (e.g., marketing, service, product features)
• Design and execute back‑testing methods to evaluate and validate model performance for both development phase and production live models
• Translate complex findings into actionable insights for both technical and non‑technical stakeholders
• Break down ambiguous business requirements into structured, data‑driven solutions
• Stay informed on relevant ML and AI research, with support from Expedia’s learning and development resources
• Collaborate with other machine learning and data science teams to foster a strong data science culture across Expedia Group

Minimum Qualifications:

• Advanced degree in Computer Science, Statistics, Operations Research, Econometrics, Economics, or a related quantitative field
• 3-5+ years of professional experience, though candidates with equivalent project or research experience are encouraged to apply
• Strong hands‑on experience in building large scale prediction models using advanced deep learning technologies like transformer models.
• Proven ability to analyze large, complex datasets and generate actionable insights
• Pragmatic problem solver focused on scalable and effective methods
• Ability to share ideas effectively with diverse technical and business audiences.

Preferred Qualifications:

• Proficiency in Python; familiarity with Spark is a plus but not required - eagerness to learn is valued
• Experience with end-to-end ML solution development
• Experience or interest in applying AI techniques, including large language models (LLMs), is a plus

The total cash range for this position in Austin 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.

Benefits and perks Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership.

Learn more about life at Expedia Group at https://careers.expediagroup.com/life.

Accommodation requests Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.

Important notice

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.

Equal Opportunity

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.

Expedia Group, Inc. (NASDAQ: EXPE) is the global travel marketplace with one purpose: to help travelers explore the world, one journey at a time. Expedia Group connects travelers, partners, and advertisers through its trusted brands, leading technology, and rich first‑party data, delivering predictive, personalized experiences that shape the future of travel. Expedia Group’s ecosystem includes three flagship consumer brands – Expedia, Hotels.com, and Vrbo – the largest B2B travel business, and a premier advertising network. Guided by an experienced and passionate global team, Expedia Group helps millions of travelers in more than 70 countries explore the world with confidence and ease. 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 about who they are. We do not send job offers via email, or any other messaging tools, to individuals we have not had prior contact. Our email domain is @expediagroup.com. Our official careers website, where you can to find and apply for job openings, is here.