Data Scientist II, Marketplace Analytics

Posted 10 Hours Ago
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Bangalore, Bengaluru Urban, Karnataka, IND
Hybrid
Junior
AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Helping travelers explore the world. One journey at a time.
The Role
Analyze large datasets to answer marketplace and product questions, using SQL and Python. Partner with engineering and stakeholders to improve data quality, develop AI-enabled solutions, solve ambiguous problems, and communicate actionable recommendations across multiple projects.
Summary Generated by Built In

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.

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: 

  • Bachelor’s, Master’s 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/askeg?id=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 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, religion, gender, sexual orientation, national origin, disability or age.

Skills Required

  • Bachelor's, Master's, or PhD degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or a related technical field, or equivalent professional experience
  • 2+ years of relevant experience in analytics, data science, product analytics, or a related quantitative role
  • Strong SQL skills and experience joining, cleaning, and validating large datasets from multiple sources
  • Proficiency in Python or a similar programming language for data analysis and problem solving
  • Ability to independently investigate ambiguous questions and translate business problems into effective analytical approaches
  • Strong communication skills with technical and non-technical stakeholders
  • Proactive, self-starting approach with strong ownership, curiosity, and judgment
  • Experience using AI capabilities to streamline processes, reduce manual effort, and improve productivity

What the Team is Saying

Christos Rigas

Expedia Group Compensation & Benefits Highlights

  • Wellbeing & Lifestyle Benefits — Travel-aligned perks such as employee travel discounts and an annual travel/wellness reimbursement stand out as distinctive elements of the package. Wellness resources and mental health tools further enhance day-to-day lifestyle value.
  • Healthcare Strength — Medical, dental, and vision coverage are described as comprehensive, with strong support including EAP and mental health offerings. U.S. coverage is frequently highlighted as a particular strength.
  • Parental & Family Support — Paid parental leave is characterized as generous for all parents, with additional time for the birthing parent. Family-building and caregiving resources extend to fertility, adoption, surrogacy, gender-affirming care, and specialized caregiver support.

Expedia Group Insights

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The Company
HQ: Seattle, WA
16,000 Employees
Year Founded: 1996

What We Do

Expedia Group, Inc. 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.

Why Work With Us

Life at Expedia Group starts with the people and is shaped by how we work together. You’ll join a global community of curious teammates from different backgrounds, locations, and disciplines. Day to day, that means sharing ideas, taking ownership, and solving problems together.

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Expedia Group Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
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