Data Scientist III, Analytics

Overview

Lead analytical projects within Expedia Group's analytics organization to support post-booking servicing experiences, using data, experimentation and analytical thinking to inform product decisions and deliver measurable business impact.

What you'll do

• Lead analytical projects or small work-streams from problem definition through recommendation, delivering insights that influence product and business decisions
• Extract, combine, and transform data from multiple sources to build reliable datasets for analysis, experimentation, and modeling
• Apply statistical methods, including regression, analysis of variance, hypothesis testing, and experiment design, to evaluate impact and solve business problems
• Use SQL, Python, R, or similar tools to analyze large datasets, develop scalable analytical approaches, and create clear visualisations
• Partner with subject matter experts and stakeholders to refine business questions, define success measures, and translate findings into practical recommendations
• Document analytical work, share reproducible code, and provide guidance and feedback that helps strengthen the analytics community

What you'll need

• A bachelor's degree, master's degree, or doctorate in mathematics, statistics, computer science, economics, engineering, or related technical field; or equivalent related professional experience
• 5+ years of experience in a data analytics or data science role, delivering insights and recommendations that drove measurable change or performance improvement across multiple projects
• Advanced experience using SQL, Python, R, or similar tools for data analysis, data structuring, transformation, and visualisation
• Experience selecting measurement approaches for different business questions, including before-and-after analysis, causal inference, multivariate testing, or adaptive experimentation
• Strong grounding in statistical concepts and ability to apply experimentation, regression, and exploratory analysis to business questions
• Ability to communicate analytical findings clearly to stakeholders with different levels of technical expertise and translate data into actionable recommendations
• Comfortable working independently, managing priorities, and collaborating across functions to move analytical work forward
• Experience working with large, complex datasets and understanding of challenges related to data quality, performance, and scalability
• Working knowledge of machine learning concepts, including supervised learning methods such as linear regression, logistic regression, and clustering
• Ability to create effective visualisations that prioritise clarity, accessibility, and audience needs
• Value for iterative delivery, reproducibility, and knowledge sharing through documentation, dashboards, and reusable analytical workflows
• Experience mentoring teammates, providing thoughtful feedback, and helping build analytical capability across a team

Details

• Location: Gurgaon, India