Director of Data Science New

**WHAT WE DO MATTERS**:
At The Knot Worldwide, we champion celebration - and that starts with celebrating our people. Our employees are passionate dreamers, thoughtful doers, and lifelong learners who power meaningful moments for millions around the world. We’re united by authentic connection, shared purpose, and a deep commitment to the global community we serve. Here, flexibility and belonging go hand in hand with high performance. We believe the best ideas come from empowered teams: those who consistently collaborate with intention to design solutions, spark ideas, and drive impact. We inspire, we build, and we celebrate. We dream big, love our users, hustle every day, and always do the right thing to win - together. Our people are at the heart of our success.

**ABOUT THE ROLE AND THE TEAM**:
TKWW is looking for a Director of Data Science to build statistical models, reports, data pipelines, and analytical tools that will increase our operational efficiency and drive incremental revenue. A key focus of this role will be on monetization and pricing of our marketplace, but the role also encompasses supporting a variety of business stakeholders, including Sales, Operations, Finance, and certain product lines internationally and in the US. This is a highly technical position where data science, statistics, and machine learning play a major role, but knowledge of analytics and data engineering are also required. The Director will report to the Head of Data and will be responsible for growing and setting the strategy and vision for their team.

**RESPONSIBILITIES**:

- Manage, grow, and mentor a global team of data scientists, machine learning scientists, and data engineers..
Inform our pricing strategy and develop algorithmic methods to optimize product pricing across different countries, markets, and categories.
- Build statistical and machine learning models to solve core business problems, such as pricing optimization, elasticity modeling, customer churn, lead scoring, lifetime value, and recommender systems.
- Build a reporting stack tailored to the stakeholder needs, including high-level executive reports and domain-specific operational reports.
- Lead vendor segmentation efforts to generate insights that can inform our sales and acquisition strategy.
- Improve upon existing methodologies for measuring marketplace performance in a subscription-based plan scenario.
- Explore and experiment with alternative auction-based monetization plans, including pay-per-lead and pay-per-booking approaches.
- Think holistically about the data needs of the organization across data science, business intelligence, machine learning, and data engineering.
- Design and conduct A/B testing experiments and advocate for an iterative learning culture.
- Develop tools and data products that automate manual work, increase operational efficiency, and empower users via self-service.

**SUCCESSFUL CANDIDATES HAVE**:

- Experience with implementing pricing optimization and elasticity models with demonstrable business impact.
- Advanced degree in statistics, data science, operations research, engineering, or computer science (PhD highly desired).
- Excellent communicator with ability to translate technical concepts to non-technical audiences.
- Strong SQL and Python programming skills.
- Strong knowledge of applied statistics and machine learning.
- Basic knowledge of data pipeline development and dimensional modeling for data warehouses.
- Experience working at a two-sided marketplace or eCommerce company.
- High-level understanding of data architecture, data pipelines, and database design.
- Knowledge of visualization and proficiency in at least one visualization tool.
- 4 years of data leadership.
- Strong track record of influencing the organization and driving tangible business impact.

**BENEFITS**:

- Private health insurance
- Life insurance
- Employee assistance program: on-demand mental health assistance program for any professional or personal matter
- Optional salary advances
- Tax relief options: pre-tax savings for food, transport, daycare and work related training expenses
- Gym membership discount
- Udemy courses
- Other leave entitlements: nhancements to statutory leave permissions, for instance: maternity, paternity, childcare, illness and others to support work-life balance
- Work from home allowance (40€/month)
- Food allowance (55€/month)
- Employee gifting
- Signature events
- Employee resource groups
- DEI & Sustainability councils
- Robust communication and feedback channels
- Focused Fridays
- Recognition iniciatives
- Local events
- GROW program
- TKWW University for Employee & Leader development
- Employee referral program

**WORK MODEL**:
**WHAT WE LOVE ABOUT YOU**:

- You Dream Big. You iterate and experiment to drive innovation.
- You Love Our Users. You keep our global community at the center of everything you do.
- You Do the Right Thing. You strengthen your team through respect, fairness, and inclusion