Note: The job is a remote job and is open to candidates in USA. The Knot Worldwide is committed to celebrating meaningful moments and is seeking a VP of Data Science & Analytics to lead their experimentation and analytics efforts. This role will drive measurable business outcomes and partner closely with data engineering to build reliable data pipelines.
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
- We also offer benefits to eligible employees including medical, dental, retirement, and generous leave policies.
- We offer flexible vacation, generous parental leave, and prioritize initiatives that support the growth, development, and happiness of our people.
Company Overview
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