Data Scientist

The Knot Worldwide
Spain
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
2 years minimum
Working hours
Regular working hours
Languages
English, Spanish
Job source

Tech stack

Artificial Intelligence Data Analysis Collaborative Software Data Infrastructure Digital Assets Statistical Hypothesis Testing Python (Programming Language) Data Processing Sql Optimization Data Analytics

Job description

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., * 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, * 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 ā€œgreatā€ 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.

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

Benefits & conditions

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About the company

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., 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 Together@TKWW is designed to support how we work best: combining the flexibility we value with meaningful opportunities to connect in person. Whether a role is Together@TKWW-eligible or not, we believe in purposeful moments to come together, build strong relationships, and drive bold ideas forward.

  • 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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