Data Scientist II, Marketplace Analytics

Department Icon Data Science Analytics & Machine Learning
Posted: 18 hours ago
2-4 years
Bengaluru / Bangalore, Karnataka
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 12 Jan 2027

Posted: 18 hours ago
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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, youll 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.

Introduction to the Team

The Yield & Analytics organization serves as the analytics center of excellence for our two-sided marketplace. We deliver data-driven insights that support a scalable, profitable, and high-quality marketplace for travelers, partners, and Expedia alike. Our work spans technically complex problem spaces, from deep-dive analysis to experimentation to machine-learning-informed product development.

Our team is looking for an experienced analytics professional to strengthen our analytics power and support strategic initiatives.

We are looking for a hardworking and intelligent individual to fill the DS II analytics role. This is a mid-level individual contributor role that partners closely with the Yield and Analytics organization and engineering teams to drive data-informed decisions and improve both traveler and partner experiences across our platforms.

In this role, you will: 

  • 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.
  • Partner with engineering in democratizing data to enable AI native solutions and deliver AI artefacts that will help business stakeholder.
  • Independently scope and solve ambiguous problems, clarifying requirements, selecting analytically sound approaches, and driving work from question to recommendation.
  • 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.

Experience and Qualifications: 

  • Bachelors, Masters or PhD degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or a related technical field; or equivalent related professional experience.
  • 2+ years of relevant experience in analytics, data science, product analytics, or a related quantitative role.
  • Strong SQL skills and experience working in complex data environments, including joining, cleaning, and validating large datasets from multiple sources.
  • Proficiency in Python or a similar programming language for data analysis and problem solving.
  • 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.

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/askegid=job_accommodation.

About Expedia Group

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.

Important notice

Employment opportunities and job offers at Expedia Group will always come from Expedia Groups 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, religion, gender, sexual orientation, national origin, disability or age.

Skills

PythonData AnalysisData ScienceAnalyticsAiSqlData Scientist

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About Company

Expedia Group, Inc. companies power travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We offer industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. The Expedia Group family of brands includes: Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, Trivago®, Hotwire®, Orbitz®, ebookers®, CheapTickets®, Expedia Group Media Solutions, CarRentals.com™ and Expedia Cruises™.
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