Data Scientist II, Marketplace Analytics
Expedia Group, Inc. (company site, opens in a new tab)2+ yrsBengaluruOn-siteDirect career pageEst. 14–28 LPA
Posted 1d ago
Reach people at Expedia Group, Inc.
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Expedia Group, Inc. you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Analyze large, complex datasets to answer key product and marketplace questions using SQL and Python.
- Partner with engineering to democratize data and deliver AI solutions that enhance business stakeholder decision-making.
- Independently scope ambiguous problems, ensure data quality, and communicate clear, actionable insights to technical and non-technical stakeholders.
Minimum Requirements
- Bachelor’s, Master’s, or PhD in Mathematics, Statistics, Economics, Computer Science, Data Science, or related technical field, or equivalent experience.
- 2+ years of professional experience in analytics, data science, product analytics, or related quantitative roles.
- Strong SQL skills with experience handling large, complex datasets; proficiency in Python or similar for data analysis.
- Work Experience Required: At least 2 years in relevant roles. Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Mid-level analytics professional capable of independently managing ambiguous and complex analytical problems.
- Experienced in working cross-functionally with product and engineering teams to deliver data-driven insights and AI-enabled solutions.
- Effective communicator able to build trusted stakeholder relationships and deliver analysis understandable to both technical and business audiences.