Senior Manager, Data Scientist - Growth Marketing

Senior Manager, Data Scientist - Growth Marketing 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 the most complex, ambiguous problems facing the channel — cross-channel performance drivers, innovative measurement, and automation of data-heavy recurring processes. Operates with a high degree of autonomy, defines the problems worth solving rather than executing pre-scoped tasks, and regularly influences stakeholders through VP/SVP level. Directly manages, coaches, and develops a team of ~3 data scientists (each one level junior), setting technical standards and prioritizing the team's roadmap against business impact. Experience & Qualifications: 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, including 2+ years directly managing or formally leading data scientists or analysts. Comparable leadership experience will be considered in lieu of formal management tenure. Proven track record of delivering data-driven insights and measurement solutions that changed business decisions or drove performance improvement, across multiple domains and senior stakeholders. Advanced, production-grade experience with Python, R, or SQL for analysis, transformation, modeling, and visualization of large datasets. Preferred: marketing, media, or performance-marketing measurement experience (paid social, programmatic, CTV, digital audio, paid app), and familiarity with incrementality and causal measurement. Functional / Technical 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. In this role, you will: People Leadership & Team Development Directly manages a team of ~3 data scientists (each one level junior), owning hiring, onboarding, performance management, and career development. Sets technical standards, review practices, and ways of working for the team; establishes code review, reproducibility, and documentation norms. Coaches team members on statistical technique, modeling, experimentation, and stakeholder communication, and creates development paths that stretch each individual. Allocates team capacity against a prioritized roadmap, balancing strategic bets, BAU measurement, and stakeholder demand; protects the team from low-value order-taking. Builds a collaborative, transparent, and inclusive team culture; represents the team's work and needs to senior leadership. Strategy & Handling Ambiguity Defines the analytics and measurement strategy for SPP and translates ambiguous, loosely-defined business goals into structured analytical programs with clear objectives and phased delivery. Frames complex, open-ended business problems as tractable analytics problems and sequences them into manageable workstreams for the team. Makes independent judgment calls on scope, method, and level of effort with limited direction; solves for the underlying objective, not the literal ask. Anticipates emerging measurement and performance questions before they are raised and proactively shapes the team's agenda around them. Thought Leadership — Cross-Channel Performance & Innovative Measurement Provides thought leadership on cross-channel performance drivers across paid social, programmatic display & video, CTV, digital audio, and paid app, spanning BEX, HCOM, and VRBO. Advances the measurement toolkit — incrementality, causal impact, geo experiments, media mix / multi-touch approaches, uncertainty-aware and multi-armed bandit methods — and selects the right technique for each question, articulating trade-offs between simpler and more complex approaches. Critically evaluates new methods, tools, and datasets, pilots promising ones, and scales what works into repeatable practice. Partners with Machine Learning / Data Science and measurement teams to validate and scale models for maximum business value. Sets the standard for interpreting model output correctly, iterating, and distinguishing statistically significant readouts from exploratory analysis. Automation & Data Engineering Owns the automation strategy for the team's data-heavy recurring processes — weekly, monthly, and quarterly reporting (WBR / MBR / QBR) — reducing manual effort and freeing capacity for higher-value analysis. Directs the design of scalable dashboards and scheduled reporting covering multiple scenarios (geo, web and app, brand), and empowers stakeholders with self-serve access and training. Guides the team in building shareable, efficient, well-documented code and data pipelines; champions reproducibility via tools such as GitHub and Confluence. Applies and enforces best practices for data quality, query cost and performance optimization, and integration across disparate sources. Writes and reviews advanced SQL (views, tables, partitions, window functions such as RANK() OVER / PARTITION BY) and works fluently across SQL flavors and querying tools; knows the most important data sources for SPP and the wider business and how to unblock data issues to resolution. Stakeholder Engagement & Communication Regularly interacts with and influences stakeholders through VP/SVP level; builds trust and works transparently across the business. Independently articulates project goals, methodology, caveats, and conclusions to technical and non-technical audiences, tailoring executive summaries and presentations to the audience's goals and technical level. Tells a clear, concise story and presents insight rather than data; creates the right artifacts (technical documentation, presentations, executive summaries) for the right forum. Identifies and engages domain experts and stakeholders early to sharpen the business question, feature selection, and relevance of outputs. Not easily deterred by organizational barriers to sharing results or effecting change; follows through to impact. The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future. Benefits and perks Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at Accommodation requests Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at About Expedia Group 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. Important notice Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is 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 Expedia Group