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Data Scientist Manager, Analytics - Job Opportunity at Expedia Group

Seattle, United States
Full-time
Senior
Posted: March 23, 2025
Hybrid
USD 137,500 - 220,000 per year

Benefits

Global hybrid work arrangement with office access
Comprehensive travel perks and discounts
Generous paid time off policy
Parental leave benefits
Career development resources
Full healthcare package

Key Responsibilities

Lead and develop analytics strategies for loyalty and credit card programs
Manage and mentor junior team members
Drive data-driven decision making through advanced analytics
Own stakeholder relationships and project prioritization
Conduct complex statistical analyses and A/B testing
Present insights to senior leadership
Design and implement customer behavior analysis frameworks

Requirements

Education

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

Experience

5+ years experience in a similar analytical role

Required Skills

Strong SQL skills R / PySpark / Python programming Statistical analysis Data visualization Presentation skills Stakeholder management Project management Commercial acumen
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Sauge AI Market Intelligence

Industry Trends

The travel industry is experiencing rapid digital transformation, with increased focus on personalized customer experiences and loyalty programs. Data science roles in travel tech are evolving to combine traditional analytics with machine learning and customer behavior prediction. There's growing emphasis on real-time analytics and dynamic pricing strategies in the travel sector.

Salary Evaluation

The offered salary range of $137,500-220,000 is competitive for a senior data science manager role in Seattle, aligning with market rates for similar positions at major tech companies.

Role Significance

Likely managing a team of 3-5 data scientists and analysts, based on typical structure for analytics teams in large travel tech companies
Senior management position with significant influence on strategic decision-making and team leadership responsibilities

Key Projects

Loyalty program optimization and customer retention strategy development Credit card partnership analytics and performance optimization Customer behavior analysis and segmentation A/B testing framework development and implementation Strategic reporting and executive decision support

Success Factors

Strong leadership and mentoring capabilities combined with hands-on technical expertise Ability to translate complex analytical findings into actionable business insights Excellence in stakeholder management and executive communication Deep understanding of customer loyalty dynamics in the travel industry Strategic thinking and commercial awareness

Market Demand

Very high demand, particularly in the travel technology sector where data-driven decision making is becoming increasingly critical for business success

Important Skills

Critical Skills

Advanced analytics and statistical modeling skills for customer behavior analysis Leadership and team management capabilities Stakeholder management and executive communication Technical proficiency in SQL and programming languages

Beneficial Skills

Machine learning and AI expertise Travel industry knowledge Product analytics experience Financial analysis skills

Unique Aspects

Opportunity to impact global travel industry through data science
Access to massive scale of travel data and customer interactions
Multi-brand analytics exposure
Direct influence on loyalty and credit card strategy

Career Growth

2-4 years in role before progression to director level, depending on performance and organizational growth

Potential Next Roles

Director of Analytics Head of Data Science VP of Data Strategy Chief Analytics Officer

Company Overview

Expedia Group

Expedia Group is a global leader in the online travel industry, operating multiple major travel brands and platforms

One of the largest online travel companies globally, competing directly with Booking Holdings and Airbnb
Strong presence in North America with significant operations in Seattle tech hub
Technology-driven culture with emphasis on innovation, data-driven decision making, and work-life balance
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