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About the Role

A senior data science leader who sets and owns the analytics and measurement strategy for SPP, leads a team of data scientists, and provides thought leadership on complex problems facing the channel. This role operates with a high degree of autonomy, defines problems worth solving, and influences stakeholders up to VP/SVP level. You will directly manage, coach, and develop a team of approximately 3 data scientists, setting technical standards and prioritizing the team’s roadmap against business impact.

Responsibilities

Directly manages a team of ~3 data scientists, owning hiring, onboarding, performance management, and career development.
Sets technical standards, review practices, and ways of working for the team, establishing code review, reproducibility, and documentation norms.
Coaches team members on statistical technique, modeling, experimentation, and stakeholder communication, and creates development paths.
Allocates team capacity against a prioritized roadmap, balancing strategic bets, BAU measurement, and stakeholder demand.
Builds a collaborative, transparent, and inclusive team culture; represents the team’s work and needs to senior leadership.
Defines the analytics and measurement strategy for SPP and translates ambiguous business goals into structured analytical programs.
Frames complex business problems as tractable analytics problems and sequences them into manageable workstreams.
Makes independent judgment calls on scope, method, and level of effort with limited direction.
Anticipates emerging measurement and performance questions and proactively shapes the team’s agenda.
Provides thought leadership on cross-channel performance drivers across various platforms and brands.
Advances the measurement toolkit, selecting the right technique for each question and articulating trade-offs.
Critically evaluates new methods, tools, and datasets, pilots promising ones, and scales what works.
Partners with Machine Learning / Data Science and measurement teams to validate and scale models.
Sets the standard for interpreting model output correctly, iterating, and distinguishing statistically significant readouts.
Owns the automation strategy for the team’s data-heavy recurring processes, reducing manual effort.
Directs the design of scalable dashboards and scheduled reporting, empowering stakeholders with self-serve access.
Guides the team in building shareable, efficient, well-documented code and data pipelines; champions reproducibility.
Applies and enforces best practices for data quality, query cost and performance optimization, and integration across disparate sources.
Writes and reviews advanced SQL and works fluently across SQL flavors and querying tools.
Regularly interacts with and influences stakeholders through VP/SVP level; builds trust and works transparently.
Articulates project goals, methodology, caveats, and conclusions to technical and non-technical audiences.
Tells a clear, concise story and presents insight rather than data.
Identifies and engages domain experts and stakeholders early to sharpen the business question and relevance of outputs.
Follows through to impact, not deterred by organizational barriers.

Requirements

PhD, Masters, or Bachelors, preferably in a quantitative or scientific field (Mathematics, Statistics, Economics, Computer Science, Physics, or similar).
7+ years in data science / advanced analytics.
2+ years directly managing or formally leading data scientists or analysts (comparable leadership experience will be considered).
Proven track record of delivering data-driven insights and measurement solutions that changed business decisions or drove performance improvement.
Advanced, production-grade experience with Python, R, or SQL for analysis, transformation, modeling, and visualization of large datasets.
Marketing, media, or performance-marketing measurement experience (paid social, programmatic, CTV, digital audio, paid app) is preferred.
Familiarity with incrementality and causal measurement is preferred.

Skills

People leadership: coaching, performance management, hiring, career development, and technical mentorship.
Strategic thinking and the ability to operate and lead a team through ambiguity.
Advanced statistics: frequentist and Bayesian methods, experimental design, regression, causal inference.
Machine learning theory and applied practice.
Data engineering fundamentals: pipelines, automation, scalable dashboards.
Stakeholder influence and communication at senior (Director / VP / SVP) levels.
Storytelling and data visualization for both technical and non-technical audiences.
Strong business acumen and domain judgment.
Advanced SQL (views, tables, partitions, window functions such as RANK() OVER / PARTITION BY).
Knowledge of most important data sources for SPP and the wider business.
Ability to unblock data issues to resolution.
GitHub and Confluence.

Location

Seattle

Work Type

Full-time

Experience Level

Senior Manager
7+ years in data science / advanced analytics
2+ years directly managing or formally leading data scientists or analysts

Education Level

PhD
Masters
Bachelors

Salary/Compensations

$173,000.00 to $242,500.00
Potential to increase pay up to $277,000.00 based on sustained performance.

Benefits

Medical coverage
Dental coverage
Vision coverage
Paid time off
Employee Assistance Program
Wellness reimbursement
Travel reimbursement
Travel discounts
International Airlines Travel Agent Network (IATAN) membership

About the Company

Expedia Group helps travelers explore the world, one journey at a time.
A global travel company powered by passionate people, trusted partnerships, and leading technology.
Connects travelers, partners, and advertisers through consumer brands, B2B network, and travel advertising business.
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings.
Across our brands and business, we help travelers explore the world with confidence and ease.

Equal Opportunity

Expedia is committed to creating an inclusive work environment with a diverse workforce.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law.
This employer participates in E-Verify.
The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.