Role Overview
Collaborate with commercial stakeholders and Machine Learning teams to design Revenue Optimization initiatives that enhance competitiveness and accelerate revenue growth for Expedia’s multi-billion-dollar B2B business. Analyze elasticity curves to understand implications of Revenue Optimization actions, and translate stakeholders’ needs to technical requirements.
What You Will Do
Extract and combine data from multiple sources to support model building and analytics. Work with commercial stakeholders and Machine Learning teams to design and implement tactical actions that boost both our top- and bottom-line.
Why It Might Be a Fit
You will work in a small but extremely impactful team, in charge of advising C-level leaders on Revenue Optimization strategy and tactics.
Requirements
- critical thinker with a curious mindset and strong problem-solving abilities
- eager to find business opportunities by analyzing patterns
- proficient in SQL and Python
- probability and statistics are part of your daily life at work
- understand how Machine Learning Algorithms work under the hood
- experienced in communicating with both technical and non-technical teams
- collaborative team player with a track record of contributing to impactful projects
- educated to degree level and have hands-on experience in Data Science or Analytics (4+ years for Bachelors/Masters or 2+ years for PhDs)
- comfortable constructively challenging colleagues and the status quo to drive continuous performance improvement
Benefits
- medical, dental, and vision coverage
- paid time off
- Employee Assistance Program
- wellness and travel reimbursement
- travel discounts
- International Airlines Travel Agent Network (IATAN) membership
To apply for this job please visit expedia.wd108.myworkdayjobs.com.

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