VP – Data Science

🔥 13 minutes ago

🇺🇸 United States – Remote

💵 $235.2k - $336k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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The Knot Worldwide

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2018

🏪 Marketplace

📱 Media

Marketplace • Media

The Knot Worldwide is a global consumer-facing company operating leading wedding and celebration planning websites and mobile apps that provide inspiration, trusted editorial content, vendor directories, and planning tools to help people take celebration planning from inspiration to action. It connects couples and other celebrants with vendors and services across more than 16 countries, acting as both a media/content platform and a marketplace for event-related services.

📋 Description

• 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

• 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

• Medical • Dental • Retirement • Generous leave policies