Data Scientist III, Marketplace Analytics

Overview

Mid-level individual contributor role in the Yield & Analytics organization, partnering with Yield and Analytics and engineering teams to drive data-informed decisions that improve traveler and partner experiences across Expedia Group platforms.

What you'll do

• Work across large and complex datasets to answer high-value product and marketplace questions.
• Write efficient, scalable SQL and use analytical tooling such as Python to extract, transform, validate, and analyse data.
• Monitor, analyze, and optimize the performance, stability, and outputs of the Supply Engine against key business metrics and operational expectations.
• Proactively provide data-driven insights and recommendations to support decision-making and align the Supply Engine with commercial goals across supply channels.
• Proactively identify operational gaps and inefficiencies and recommend improvements and automation opportunities.
• Partner with engineering in democratizing data to enable AI native solutions and deliver AI artefacts that will help business stakeholders.
• Evaluate data quality, identify gaps or risks in source data, and improve the reliability and reusability of analyses and analytics workflows.
• Build clear, decision-oriented narratives and artifacts that help technical and non-technical stakeholders understand the why, the so what, and the recommended next step.
• Proactively build trusted relationships with stakeholders across Product and Engineering, and manage expectations across multiple projects and priorities.
• Clearly articulate decision rationale, methodology, and recommendations to both technical and non-technical stakeholders, using clear and compelling storytelling.
• Mentor team members and contribute to a culture of learning and innovation.

What you'll need

• Bachelor's or Master's degree in Business, Mathematics, Economics, Statistics, or a related discipline, or equivalent experience.
• Advanced SQL skills for data analysis, structuring, and transforming data, and experience working with complex data ecosystems.

Nice to have

• 5+ years of experience in analytics, business intelligence, or a related field, with a proven track record of managing data-driven processes, driving improvements in operational efficiency, and delivering insights that drive business impact.
• Proficiency in Python or a similar programming language for data analysis and problem solving.
• Well-versed in building and maintaining reports in Tableau or similar data visualization tools.
• Strong problem-solving skills and business acumen, with the ability to frame complex business problems as analytical tasks.
• Strong communication and stakeholder management skills, with the ability to translate complex analyses into clear, actionable insights for technical and non-technical audiences.
• Excellent attention to detail, coupled with the ability to maintain a big-picture perspective.
• Experience managing multiple projects simultaneously and delivering results in a fast-paced environment.
• Demonstrated ability to work independently through ambiguous questions, dig deeply into data issues, and translate business problems into effective analytical approaches.
• Strong stakeholder communication skills, including the ability to explain methods, assumptions, tradeoffs, and recommendations clearly to both technical and non-technical audiences.
• A proactive, self-starting approach, with strong ownership, curiosity, and judgment in complex problem spaces.
• Experience using AI capabilities to streamline processes, reduce manual effort, and improve productivity across projects.

Details

• Location: India - Bangalore.