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The Knot Worldwide

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

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

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Data ScienceAnalyticsStatistical ModelingCausal InferenceExperimentation StrategyA/B TestingMetrics GovernanceMarketplace DynamicsLTV ModelingData Pipeline Development
Soft Skills
Strategic AdvisingCollaboration SkillsCommunication Skills