Data Scientist at Clipwire Games developing models for game systems and data pipelines. Collaborating with product and development teams for analytics and insights.
About the role
- Data Scientist III at Expedia Group developing machine learning models for pricing analytics. Involves working cross-functionally to solve optimization problems using statistical modeling and experimentation.
Responsibilities
- Contribute to the design, development, and deployment of machine learning models that drive real-time pricing decisions across our product portfolio
- Deep dive into various pricing-related datasets to uncover patterns and suggest clear optimization paths
- Design, conduct, and analyze online experiments (A/B tests) leveraging industry best practices
- Develop and leverage a best-in-class analytical toolkit to extract insights and make data-driven recommendations
- Develop and maintain clear and user-friendly dashboards and reports to track and analyze KPIs (Key Performance Indicators) and performance metrics
- Collaborate closely with cross-functional teams to identify key business challenges and provide analytical insights and recommendations to support decision-making
- Drive action to improve pricing KPIs, utilizing the 80/20 rule to focus effort on the most impactful results
- Be curious and constantly monitor key metrics and trends to proactively suggest actions or highlight business opportunities.
Requirements
- Master’s degree in a technical or numerical discipline: engineering, economics, statistics, or a related field
- 5+ years of experience in analytics—experience in pricing or within the travel industry is a plus
- Mastery of SQL and experience working with complex data ecosystems is a must-have
- Demonstrated knowledge in statistics and online experimentation
- Knowledge of Python or R
- Solid business acumen, with the ability to connect data to actionable insights
- Strong analytical skills and problem-solving abilities
- Excellent communication and presentation skills, with the ability to present complex information clearly and concisely.
Benefits
- travel perks
- generous time-off
- parental leave
- flexible work model
- career development resources
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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