Senior 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.
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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 TKWWAt 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 decisionsApply advanced statistical and machine learning techniques (e.g., hypothesis testing, regression, classification, clustering, forecasting, causal inference) to uncover insights and guide strategyForecast and simulate hypotheticals to provide early potential signals before large initiatives startDesign and analyze A/B and multivariate testing experiments; guide experimentation best practices across teamsDesign, build, and maintain reusable, scalable data products and self-serve capabilities used by multiple internal teamsTranslate analyses into clear, actionable recommendations, linking insights to business outcomes such as ROI, conversion, retention, and revenueMaintain a deep understanding of the product, relevant data assets, and the outcomes of past experiments and analysesIdentify opportunities for new data products and integrations, prioritize a backlog of data assets and use cases, and collaborate with business partners to implement themPartner closely with Product, Engineering, Marketing, Sales, and other stakeholders to ensure strong internal customer focus and alignmentPartner with engineers to ensure appropriate and scalable tracking is in placeSUCCESSFUL CANDIDATES HAVE:Excellent communication skills; able to translate technical concepts to non-technical audiencesStrong business acumen and ability to translate business problems into analytical solutions and decision frameworksDemonstrated ability to influence stakeholders and drive alignment through data-driven insights and recommendationsAdvanced knowledge of statistics, including hypothesis testing, regression, causal inference, and forecastingHands-on experience with experiment design, analysis, and rollout of A/B and multivariate testsAdvanced SQL skills and ability to write efficient, production-ready queriesStrong Python skills for data manipulation, visualization, and advanced analysisKnowledge of data modeling and experience partnering with engineers on data infrastructureExperience prioritizing and managing analytical work, data assets, or product backlogs in a cross-functional environmentMaster's or Ph.
D. in a quantitative field preferred2+ years of experience in data science or advanced analytics, with some prior leadership, mentorship, or project ownership experienceFluent in English & SpanishWORK MODEL:This role is -eligible and based near one of our office hubs.

You'll be expected to work in the office two days a week as part of our hybrid work model. #LI-Hybrid #professional AI FLUENCYAt TKWW, AI is a tool that helps our teams work smarter, move faster, and spend more time on the work that matters most. We expect every employee, in every role, to build fluency with the AI tools relevant to their work