Data Scientist II - Applied AI

Expedia Group • Seattle, WA

2d • $112,000 - $156,500 • Hybrid

About The Position

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 – Applied AI Introduction to team Our Corporate Functions are made up of teams that support Expedia Group, including Employee Communications, Finance, Legal, People Team, Inclusion and Diversity, and Global Social Impact and Sustainability. We are looking for a high-velocity, hands-on Data Scientist II – Applied AI to help build and scale practical AI solutions within fast-moving business teams. This is a generalist role for someone who thrives at the intersection of data science, generative AI, product thinking, and execution. You will partner closely with senior leaders, engineering, and business stakeholders to move quickly from idea, prototype, production. The ideal candidate is deeply curious about emerging AI techniques, proactive in shaping product decisions, and passionate about delivering measurable impact not just experiments. This role is based in Seattle and requires flexibility to collaborate across time zones. In this role you will:

Requirements

• 2–5 years of experience in Data Science, Applied AI, or a related role
• Proven experience building and deploying AI or data-driven solutions that delivered measurable business impact
• Experience working in fast-paced, execution-oriented environments
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field
• Equivalent practical experience building and deploying AI/ML systems will be considered in lieu of formal education
• Strong Python and SQL skills (data manipulation, transformation, experimentation support)
• Experience working with large datasets and production-grade workflows
• Familiarity with generative AI systems, including: LLM integrations, Prompt engineering, Retrieval-based workflows (RAG concepts), Multi-step or agent-based orchestration
• Working knowledge of statistics and experimentation (regression, variance analysis, signal vs. noise, basic causal thinking)
• Ability to design practical evaluation frameworks for AI outputs
• Generalist mindset: comfortable spanning analytics, modeling, AI workflows, experimentation, and product thinking
• High ownership and bias for action; favors rapid, iterative delivery
• Proactive in influencing product direction and collaborating with senior leaders
• Strong problem-framing skills able to break ambiguous problems into clear, executable steps
• Passionate about emerging AI techniques and continuously exploring how to apply them
• Clear communicator who can tell a concise story with data and AI outcomes
• Flexible and comfortable working with cross-functional and cross-timezone teams
• Highly collaborative and receptive to feedback

Responsibilities

• Build and deploy end-to-end AI and data science solutions, including LLM-powered workflows and analytics pipelines
• Rapidly prototype and productionize generative AI use cases (prompt engineering, retrieval-based systems, agent workflows, evaluation frameworks)
• Translate ambiguous business problems into clear AI/data science problem statements
• Design and implement evaluation approaches (offline metrics, experimentation, pre/post impact analysis, A/B tests where applicable)
• Work directly with senior stakeholders to shape product direction, refine requirements, and prioritize high-impact use cases
• Incorporate user feedback into iterative AI improvements and workflow redesign
• Develop scalable data pipelines and reusable components using Python and SQL
• Automate recurring reporting, evaluation, and decision-support workflows
• Document prompts, workflows, experiments, and technical decisions clearly for internal sharing
• Contribute to inclusive and responsible AI practices, ensuring clarity, transparency, and reproducibility

Benefits

• 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
• medical/dental/vision
• paid time off
• Employee Assistance Program
• wellness & travel reimbursement
• travel discounts
• International Airlines Travel Agent (IATAN) membership

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level