Data Scientist

ABOUT US

In more than ten countries around the world, The Knot Worldwide champions the power of celebration. Our global family of brands provide best-in-class products, services and content to take celebration planning from inspiration to action. At the core of our business is our industry-leading global online wedding Vendor Marketplace, connecting couples with local wedding professionals and a comprehensive suite of personalized wedding websites, planning tools, invitations, and registry services that make wedding planning easier for couples around the globe. Each year, we connect more than 4.5 million users with around 900,000 global small businesses through our Vendor Marketplace.

LIFE AT TKWW

At The Knot Worldwide, we believe in doing work that matters. Each year, we help millions of couples around the world celebrate life’s most meaningful moments, while also helping hundreds of thousands of global small business owners get discovered and scale. Life here means working alongside a team that cares deeply, not just about the work you do, but about the life you live. We prioritize employee well-being and development through meaningful opportunities for growth, and we celebrate milestones and wins in a big way. After all, celebrations are what we do best.

ABOUT THE ROLE AND OUR TEAM:

TKWW is looking for a Senior Data Scientist to join our team of data professionals supporting our Marketplace. The Senior  Data Scientist will play a critical role in shaping data strategy, guiding experimentation, and driving impact through advanced analytics. They will partner with cross-functional teams—including product managers, engineers, and business stakeholders—to design experiments, develop analytical tools, and ensure we are making data-driven decisions that deliver measurable results. As a trusted advisor and mentor, this person will both lead analyses directly and elevate the work of the broader team.

RESPONSIBILITIES:

• Gather, analyze, and interpret data to deliver business impact and help the organization make informed decisions
• Apply advanced statistical and machine learning techniques (e.g., hypothesis testing, regression, classification, clustering, forecasting, causal inference) to uncover insights and guide strategy
• Forecast and simulate hypotheticals to provide early potential signals before large initiatives start
• Design and analyze A/B and multivariate testing experiments; guide experimentation best practices across teams
• Design, build, and maintain reusable, scalable data products and self-serve capabilities used by multiple internal teams
• Translate analyses into clear, actionable recommendations, linking insights to business outcomes such as ROI, conversion, retention, and revenue