Data Analyst II - Agentic Experiences

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.

Our Technology Team partners with teams across Expedia Group 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 looking to gain an established performer who consistently applies analytical capabilities to design, run, and interpret evaluations for agentic AI systems, with a moderate level of guidance and direction. Regularly interacts with stakeholders up to Senior Manager level, including ML scientists, product teams, and other evaluation partners.

In this role, you will:

Evaluation Design & Execution

• Designs and recommends evaluation approaches appropriate to the agentic task — including human eval, automated metrics, and hybrid methods

• Understands the difference between a statistically valid eval readout and exploratory analysis; applies this distinction when reporting results to stakeholders

• Frames business or product questions as concrete evaluation tasks, breaking them into manageable steps with clear success criteria

• Selects appropriate measurement techniques for agentic systems, including turn-level and task-level assessments, and understands the caveats of each

• Identifies failure modes in agent behavior (e.g. hallucination, tool misuse, incorrect task completion) and surfaces these clearly in eval outputs

• Favors iterative delivery — works with stakeholders to refine eval scope, agree on what is in scope for each phase, and evolves methodology based on findings

Annotation

• - Designs and documents annotation rubrics and guidelines that produce consistent, high-quality labels at scale

• - Performs and quality-checks annotations, identifying inter-annotator disagreement and proposing rubric improvements to address ambiguity

• - Has hands-on experience using annotation platforms and can onboard peers or vendors onto annotation tasks with minimal support

• - Understands how annotation quality directly impacts model and eval reliability, and proactively flags risks

Data & Technical

• - Extracts and combines data from multiple sources to support eval pipelines and annotation workflows

• - Writes intermediate SQL and Python scripts in a shareable, reproducible way; stores and versions work in tools like GitHub or Confluence

• - Understands data quality best practices and applies them to eval datasets, including checks for label consistency, coverage, and bias

• - Has a working knowledge of the most important data sources relevant to their work area and knows how to unblock data issues

• Communication & Collaboration

• - With manager support, clearly articulates eval goals, methodology, caveats, and conclusions to both technical and non-technical audiences

• - Creates clear, audience-appropriate artifacts — technical documentation, eval summaries, and executive-facing write-ups — and shares them in the right forums

• - Builds trust and collaborates transparently with stakeholders; seeks peer reviews and actively contributes to team upskilling

• - Seeks feedback early and demonstrates the ability to act on it across current and future projects

• - Demonstrates a proactive approach to identifying problems, surfacing blockers, and becoming increasingly self-sufficient over time

Experience and qualifications:

• 1+ years for Bachelors/Masters grad (preference for a Mathematics, Scientific, Linguistics, or Cognitive Science degree)

• OR 2+ years in a comparable data analytics, AI evaluation, or annotation role with relevant experience

• Demonstrated experience delivering data-driven insights and recommendations that drove change or performance improvement for stakeholders

• Hands-on experience with data annotation or labeling workflows, including quality control and rubric design

• Familiarity with agentic AI systems, LLMs, or AI product evaluation is strongly preferred

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.

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.