Senior Manager, Data Science at The Knot Worldwide in Annapolis, Maryland

Job Description:

ABOUT THE ROLE AND OUR TEAM:

TKWW is looking for a Senior Manager, Data Science who can be the strategic partner and point of contact for all things data for our E-commerce and Planning & guest teams. The manager will be responsible for partnering with leaders across these two zones to drive strategy, as well as partnering with cross-functional stakeholders on our couples and vendor marketplace teams. They will manage a team of data scientists with an emphasis on identifying opportunities and delivering value.

What you will do:

• Manage, grow, and mentor a team of data scientists
• Work with product, engineering and design partners to identify problems and opportunities that can be addressed using data science and machine learning approaches. Develop a comprehensive roadmap for analytics and reporting that reflects the strategic vision and business priorities.
• Build analytics offerings, like data-models, and reporting solutions that include all enterprise KPIs, business and operational metrics and key insights that are available for self-service by stakeholders.
• Use A/B testing and causal inference approaches to measure performance of different initiatives and feature launches.
• Communicate data science concepts/insights to both technical and non-technical stakeholders in a clear and concise manner.
• Develop tools and data products that automate manual work, increase operational efficiency, and empower users via self-service

• 5-7 years of hands-on experience in data science and analytics, including 3+ years of experience in leadership and management.
• Excellent verbal and written communication skills, with ability to translate technical concepts clearly and effectively to audiences of varying technical levels
• Experience in leading org-wide initiatives across multiple teams and strong track record of influencing the organization and driving tangible business impact
• Experience in hypothesis driven product development, with hands-on experience in experimental test design (A/B testing, Counterfactual analysis, causal inference, etc.)
• Strong SQL and Python programming skills
• Strong knowledge of applied statistics
  
• Preferred experience working at a two-sided marketplace or eCommerce company
• Preferred experience in building data models using etl tools like dbt, looker, etc.
• High-level understanding of data architecture, data pipelines, and database design
• Proficient in data visualization and experience with at least one visualization tool (Tableau, Data studio, Power BI)