Sobre este puesto de Senior Data Scientist en The Knot Worldwide
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
- Maintain a deep understanding of the product, relevant data assets, and the outcomes of past experiments and analyses
- Identify opportunities for new data products and integrations, prioritize a backlog of data assets and use cases, and collaborate with business partners to implement them
- Partner closely with Product, Engineering, Marketing, Sales, and other stakeholders to ensure strong internal customer focus and alignment
- Partner with engineers to ensure appropriate and scalable tracking is in place
REQUIREMENTS:
- Excellent communication skills; able to translate technical concepts to non-technical audiences
- Strong business acumen and ability to translate business problems into analytical solutions and decision frameworks
- Demonstrated ability to influence stakeholders and drive alignment through data-driven insights and recommendations
- Advanced knowledge of statistics, including hypothesis testing, regression, causal inference, and forecasting
- Hands-on experience with experiment design, analysis, and rollout of A/B and multivariate tests
- Advanced SQL skills and ability to write efficient, production-ready queries
- Strong Python skills for data manipulation, visualization, and advanced analysis
- Knowledge of data modeling and experience partnering with engineers on data infrastructure
- Experience prioritizing and managing analytical work, data assets, or product backlogs in a cross-functional environment
- Master’s or Ph.D. in a quantitative field preferred
- 2+ years of experience in data science or advanced analytics, with some prior leadership, mentorship, or project ownership experience
- Fluent in English & Spanish
WORK MODEL:
This role is Together@TKWW-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 FLUENCY
At 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, use them thoughtfully and with sound judgment, and bring curiosity as these tools keep evolving. This isn't about replacing our people's expertise — it's about equipping every employee to use AI to raise the bar on the work we do together.
WHAT WE LOVE ABOUT YOU:
- Commit to our customers: You act as one team on behalf of our customers. You lead with head and heart, and build what matters for life's most meaningful moments.
- Raise the bar: You define "great" and work backwards. You don't just accept how it's been done, but boldly define how it should be. You are unafraid to innovate, learn, and keep moving forward toward our shared vision.
- Be all in: You believe in our mission and take ownership of your work. You debate openly to reach the best outcomes, speaking with clarity and care, embracing diverse perspectives, then commit fully.
- Celebrate impact: You measure success by the outcomes you create. You hold yourself accountable to delivering value, while recognizing progress and the lessons learned along the way. You love to win, together.
WHAT YOU LOVE ABOUT US:
We provide meaningful, high-impact benefits designed to support the holistic well-being of our diverse workforce and help our people thrive both professionally and personally. From physical and mental wellness to flexible time off our programs are built around the moments that matter most.
TOGETHER@TKWW: OUR APPROCH TO HYBRID WORK
- For Together@TKWW-eligible roles, this includes regular in-office time to foster collaboration and connection.
- For roles not eligible for in-office expectations, we support connection through virtual collaboration and intentional gatherings.
To facilitate in-person collaboration, we have office spaces in Barcelona, Spain; Delhi, India; Galway, Ireland; London, England and New York, NY.
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US Notice: The Knot Worldwide provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, or disability. In addition to federal law requirements, The Knot Worldwide complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. The Knot Worldwide expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
Privacy Notice: The Knot Worldwide (TKWW) processes your personal data to evaluate your application, based on the legal ground of taking steps prior to entering into a potential employment contract. Only the data strictly necessary for this purpose is collected. In some cases, your data may also be processed based on TKWW’s legitimate interests (e.g., to improve recruitment practices or manage candidate pools), to which you can object at any time. You have the right to access, rectify, or delete your data, and to object to certain uses. To learn more about your rights, please consult our The Knot Worldwide (TKWW) processes your personal data to evaluate your application, based on the legal ground of taking steps prior to entering into a potential employment contract. Only the data strictly necessary for this purpose is collected. In some cases, your data may also be processed based on TKWW’s legitimate interests (e.g., to improve recruitment practices or manage candidate pools), to which you can object at any time. You have the right to access, rectify, or delete your data, and to object to certain uses. To learn more about your rights, please consult our Privacy Policy. If you wish to file a complaint, you may contact the competent data protection authority. If you wish to file a complaint, you may contact the competent data protection authority.
