VP – Data Science

The Knot Worldwide

VP of Data Science leading experimentation and analytics for a global two-sided marketplace. Owns data strategy and partners with engineering and executive teams for impactful insights.

Posted 7/2/2026full-timeRemote • 🇺🇸 United StatesLead💰 $235,200 - $336,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading experimentation strategies and advanced analytics within a two-sided marketplace, leveraging strong data science capabilities to drive measurable business impact and inform executive decision-making.

Highest-signal resume keywords

Data Science LeadershipBusiness Intelligence StrategyExperimental Design ExpertiseSQL ProficiencyCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceAnalyticsStatistical ModelingCausal InferenceExperimentation StrategyA/B TestingMetrics GovernanceMarketplace DynamicsLTV ModelingData Pipeline Development

Soft Skills

Strategic AdvisingCollaboration SkillsCommunication Skills

Tools & Technologies

SQLSnowflakeLookerSigmaTableau

Industry Keywords

Two-Sided MarketplaceQuantitative LeadershipData-Driven Growth StrategyExecutive DashboardsIncrementality Measurement

Tech Stack

Tools & technologies

SQLTableau

About the role

Key responsibilities & impact

Lead experimentation, business intelligence, and advanced analytics across our global two-sided marketplace.
Own the company’s experimentation strategy and enterprise BI function.
Partner closely with data engineering to build reliable, scalable end-to-end data pipelines.
Define and scale experimentation strategy.
Ensure rigorous A/B testing and incrementality measurement.
Own executive dashboards and enterprise reporting.
Develop and maintain a trusted metrics layer with clear governance and definitions.
Lead applied data science across personalization, marketplace dynamics, pricing, segmentation, and lifecycle modeling.
Partner with ML teams to ensure strong model evaluation and business impact measurement.
Serve as a strategic advisor to executive leadership on data-driven growth strategy.

Requirements

What you’ll need

15+ years in Data Science, Analytics, or quantitative leadership roles.
Experience leading BI and analytics in a large, global organization.
Demonstrated success operating within a two-sided marketplace or platform business.
Proven experience owning experimentation strategy and delivering measurable business impact.
Experience partnering with C-suite and Board stakeholders.
Deep knowledge of experimental design, causal inference, and statistical modeling.
Experience building scalable experimentation and analytics ecosystems.
Strong fluency in SQL and modern data tools (e.g., Snowflake, Looker, Sigma, Tableau).
Strong understanding of marketplace unit economics and LTV modeling.
Experience building and scaling high-performing Data Science and Analytics teams.
Strong cross-functional collaboration skills in matrixed environments.
Ability to translate complex quantitative analysis into clear business insights.

Benefits

Comp & perks

Medical
Dental
Retirement
Generous leave policies