[Remote] VP, Data Science

Note: The job is a remote job and is open to candidates in USA. The Knot Worldwide is a company that champions celebration and values its employees. The VP of Data Science & Analytics will be responsible for leading experimentation and advanced analytics to drive business outcomes in their global marketplace.

Responsibilities

• Define and scale experimentation strategy across a complex two-sided marketplace (couples and vendors)
• Ensure rigorous A/B testing, incrementality measurement, and causal inference across growth, monetization, ranking, and lifecycle initiatives
• Build frameworks that account for cross-side marketplace effects and long-term LTV impact
• Establish clear accountability for experimentation outcomes tied to business performance
• Own executive dashboards and enterprise reporting from Board-level metrics to team-level KPIs
• Develop and maintain a trusted metrics layer with clear governance and definitions
• Improve forecasting, driver trees, and performance diagnostics tied to CPAs, GMV, and marketplace health
• Enable scalable self-serve analytics capabilities across the organization
• Lead applied data science across personalization, marketplace dynamics, pricing, segmentation, and lifecycle modeling
• Develop robust LTV and marketplace health models
• Partner with ML teams to ensure strong model evaluation and business impact measurement
• Partner closely with Data Engineering to design scalable experimentation infrastructure and data pipelines
• Influence architecture decisions without directly owning DE
• Serve as a strategic advisor to executive leadership on data-driven growth strategy

Skills

• 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

• Benefits to eligible employees including medical, dental, retirement, and generous leave policies
• Flexible vacation
• Generous parental leave
• Mental wellbeing
• Physical health
• Financial planning
• Engaging perks and discounts
• Together@TKWW-eligible roles include regular in-office time to foster collaboration and connection

Company Overview

Company H1B Sponsorship