Data Scientist III, Marketing Analytics

Data Scientist III, Marketing Analytics (Bangalore)

Introduction to team

The Traveler Business Team builds and drives growth for our global consumer businesses—Expedia, Hotels.com, and Vrbo. This division creates compelling and differentiated traveler value for each brand by setting the strategic vision, operating strategy, and plan. Responsibilities include investment allocation and prioritization, P&L accountability, and leading cross-functional teams across Expedia Group, who are all held accountable to a single scorecard.

We are seeking a curious and proactive Data Scientist III to join the Channel and Incrementality Analytic Team. In this role, you will be responsible for automating and extracting trends from our channel performance datasets and transforming them into data products, performance insights, and actionable strategies that improve our channel performance.

You will use analytical thinking and deep knowledge of data to turn complex trends into compelling narratives and recommendations for channel operations. Acting as a key source of truth for all channel performance data-related matters within Marketing Analytics, you will guide the consumption of our in-house measurement to inform marketing partners and shape business decisions.

In this role, you will:

• Data Analysis & Insights: Support a large network of stakeholders by analysing attribution and channel operations data to generate insights and explanations for performance trends. Inform the business clearly of the commercial implications of performance changes.

• Self-Service Enablement: Develop and deliver self-service analytics products for a wide variety of stakeholders to increase the accessibility, speed and simplicity of transforming data trends into commercial insights.

• Data Quality Investigations: Employ logical thinking and root-cause analysis to distinguish changes in customer behaviour from underlying data quality. Act as the subject matter expert for datasets powering our channel measurement.

• Project management: Balance the delivery long-term roadmap deliverables against ad-hoc and high urgency investigations. Identify opportunities to proactively anticipate requests for support.

• Stakeholder partnership: Partnering closely with Channel Teams, Finance, and Data Engineering, you will act as the expert mediator between our channel measurement data and the teams that rely on them to understand commercial performance.

Experience and Qualification:

• Bachelor's, Master’s, PhD; Mathematics, Science, Statistics, Economics degree; or equivalent related professional experience as applicable

• 5+ years experience in a similar analytical role

• Strong SQL skills; demonstrated experience of using PySpark / Python to structure, transform and visualize big data, and a willingness to learn new frameworks and languages required for the task

• Deep logical thinking and experience in distilling crisp insights from highly complex datasets.

• Experience with designing, delivering, and maintaining data visualisations products through tools like Tableau and Power BI.

• Experience partnering with other teams and disciplines (Finance, Channels, Engineering, etc.) and collaborating with other analytics teams to deliver projects.