Senior Data Scientist

$100,000 - $277,000/Yr

Expedia Group - Austin, TX

Full-time - Senior

Austin, TX

Administrative and Support Services

About the position

As a Senior Data Scientist at Expedia Group, you will play a pivotal role in pioneering the future of travel by redefining how people plan, search for, and book their travel experiences. This position is part of the global Product Analytics and Experimentation team, which is dedicated to optimizing user experiences across all Expedia brands. The Shop and Book Product Analytics team leverages data to enhance customer experiences throughout the shopping journey, making this role crucial for delivering exceptional features to our users. In this senior-level individual contributor role, you will collaborate with various teams, including product, data, engineering, strategy, finance, and other analytics teams, to understand and improve product performance. Your responsibilities will include optimizing experimentation strategies, identifying new success measures, sizing opportunities, and employing advanced analytics methods to formulate new test hypotheses. You will be expected to apply your expertise in quantitative analysis, data mining, machine learning programming, and data visualization to enhance customer experiences. You will own the end-to-end process of designing and executing complex experiments, such as A/B tests and pre-post analyses, while proactively identifying opportunities and recommending new features for testing. Additionally, you will collaborate with the analytics community to integrate new metrics and methodologies into the experimentation culture. Leading key strategic projects within the shopping experience will be essential to support goal setting, opportunity sizing, product performance reviews, and the overarching 2025 EG product strategy. As the most senior individual contributor on the team, you will set high standards for prescriptive and predictive insights across product analytics, mentoring junior analysts and influencing action through clear and engaging presentations. Your ability to communicate complex data insights in an accessible manner will be vital in driving results and fostering collaboration across teams.

Responsibilities

• Apply expertise in quantitative analysis, data mining, ML programming, and data visualization to improve customer experience.
• Own the end-to-end process in designing and running complex experiments (A/B tests, Pre-Post, Interleaving).
• Collaborate across the analytics community to define how to embed new metrics and methodologies into the experimentation culture.
• Lead key strategic projects within the shopping experience to support goal setting, opportunity sizing, and product performance review.
• Manage product analytics projects and operate within a community of analysts, sharing findings and methodologies.
• Raise the bar in prescriptive and predictive insights across product analytics, mentoring junior analysts.
• Influence action and results through clear writing and engaging presentations.

Requirements

• Bachelor's/Master's degree in a quantitative field such as mathematics, statistics, physics, engineering, operations research, data science, or similar.
• 6+ years of experience in the industry or equivalent.
• Expertise in Python, Scala, R, or any other major machine learning programming language.
• Strong background in statistical analysis and experimentation, segmentation, computational systems, and optimization techniques.
• Experience in interpreting machine learning models such as propensity modeling and forecasting techniques.
• Ability to manage projects across different functions (product, strategy, engineering, etc.) and prioritize among conflicting demands.

Nice-to-haves

• Experience with advanced analytics methods and tools.
• Familiarity with user experience optimization techniques.
• Knowledge of the travel industry and customer behavior analytics.

Benefits

• Competitive salary with potential for performance-based increases.
• Comprehensive health insurance coverage.
• 401(k) retirement savings plan with company matching contributions.
• Flexible work hours and remote work options.
• Professional development opportunities and mentorship programs.