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Expedia Group

Data Scientist II

Location
Bengaluru
Work mode
See listing
Experience
2+ yrs exp
Pay
₹20–32 LPA (Est.)
Type
Full-time job, AI & ML
Added
11 November 2026
Apply by
13 November 2026

About this role

This Data Scientist II role sits in Expedia Group's Yield & Analytics organization in Bangalore, which provides analytics for the company's two-sided travel marketplace of travelers and partners. It is a mid-level individual contributor position that works closely with analytics and engineering teams. Day to day, the person writes SQL and Python to analyse large datasets, answers product and marketplace questions, and checks the quality of source data. The role also involves working with engineering to make data usable for AI-based solutions and turning findings into clear recommendations for stakeholders. It suits analysts with at least two years of quantitative experience who can work independently on open-ended problems.

Expedia Group is hiring for Data Scientist II, a full-time role based in Bengaluru.

Who can apply: 2+ yrs exp. Skills: SQL, Python, Data analysis, Experimentation, Stakeholder communication.

Hirastra checked that this opening is live. Apply directly through the official posting; applying is always free.

What you'll do

  • Analyse large, complex datasets to answer product and marketplace questions
  • Write efficient SQL and use Python to extract, transform, validate and analyse data
  • Work with engineering to make data accessible for AI-native solutions and build AI artefacts for business stakeholders
  • Scope ambiguous problems independently and take them from question to recommendation
  • Assess data quality, flag gaps in source data and improve the reliability of analytics workflows
  • Present clear, decision-focused findings to technical and non-technical stakeholders

What you need

  • Bachelor's, Master's or PhD in Mathematics, Statistics, Economics, Computer Science, Data Science or a related field, or equivalent experience
  • 2+ years of experience in analytics, data science, product analytics or a similar quantitative role
  • Strong SQL skills, including joining, cleaning and validating large datasets from multiple sources
  • Proficiency in Python or a similar language for data analysis
  • Strong communication skills to explain methods, assumptions and recommendations clearly
  • Experience using AI tools to streamline processes and improve productivity

Skills

  • SQL
  • Python
  • Data analysis
  • Experimentation
  • Stakeholder communication

"Est." = Hirastra's estimate based on market data, not an official figure.

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