Senior Data Scientist - Product Analytics

$173,000 - $242,500/Yr

Expedia - Seattle, WA

Full-time - Senior

Hybrid - Seattle, WA

Administrative and Support Services

About the position

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. As a Senior Data Scientist in Product Analytics, you will join a team that focuses on using data to improve the customer experience throughout the Shopping path on all Expedia Brands. This role involves working cross-functionally to deliver great features to our customers, optimizing experimentation strategies, and using advanced analytics methods to drive new test hypotheses.

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), proactively identifying opportunities and recommending new features for testing.
• 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 industry or equivalent.
• Expertise in Python, Scala, R, or any other major machine learning programming language.
• Expertise in statistical analysis, experimentation, segmentation, optimization techniques, and interpretation of machine learning models.
• Strong logical thinking and ability to manage projects with different functions (product, strategy, engineering, etc.).
• Excellent verbal, written, and data visualization skills.

Nice-to-haves

• Experience in leading complex and vaguely defined projects.
• Ability to prioritize among conflicting demands and be comfortable with ambiguity.
• Creative and analytical thinking with a love for data.

Benefits

• Full benefits package including travel perks and generous time-off.
• Parental leave.
• Global hybrid work setup with cool offices.
• Career development resources.