Senior Data Scientist

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. About the Role and Our Team We are seeking a Senior Data Scientist to join our data team supporting the Couple Growth & Lifecycle Product Zone. This role focuses on driving user acquisition, engagement, retention, and monetization strategies through data‑driven insights and advanced analytics. The Senior Data Scientist will partner closely with product managers, engineers, and business stakeholders to design growth experiments, optimize lifecycle journeys, and deliver measurable impact on key metrics. This person will also mentor and guide other data professionals, elevating analytical rigor across the team. Responsibilities Analyze and interpret user behavior, lifecycle trends, and engagement data to identify growth opportunities and inform product strategy. Apply advanced statistical and machine learning methods (causal inference, churn prediction, LTV modeling, segmentation, classification, forecasting) to drive growth and lifecycle decisions. Design, execute, and analyze A/B and multivariate tests that optimize acquisition, engagement, retention, and monetization outcomes. Build predictive and prescriptive models to forecast user behavior and guide prioritization of initiatives. Collaborate with cross‑functional teams to define growth hypotheses and translate business questions into analytical approaches. Develop self‑serve analytics tools, dashboards, and data products to empower partners and enhance data‑driven decision‑making. Partner with engineers to ensure robust, scalable tracking and measurement frameworks for growth and lifecycle initiatives. Mentor and provide technical guidance to other data scientists and analysts, fostering a culture of experimentation and data excellence. Qualifications Excellent communication skills; able to translate technical concepts to non‑technical audiences. Strong business acumen and ability to translate business problems into analytical solutions. 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. Ability to design, build, and maintain reusable, scalable data products for multiple internal teams. Strong internal customer focus, collaborating with Product, Marketing, and other stakeholders. Ability to turn data into clear, actionable decisions and recommendations. Advanced SQL skills and ability to write efficient, production‑ready queries. Strong Python or R skills for data manipulation, visualization, and advanced analysis. Knowledge of data modeling and experience partnering with engineers on data infrastructure. Experience influencing stakeholders and driving alignment through data‑driven insights. Master’s or Ph.D. in a quantitative field preferred. 3‑5 years of experience in data science or advanced analytics, with some prior leadership, mentorship, or project ownership experience. Fluent in English. Benefits Private health insurance Life insurance Employee assistance program Optional salary advances Tax relief options (pre‑tax savings for food, transport, daycare, and work‑related training expenses) Personal time off: 23 working days of holidays per year plus additional days in line with local agreements Other leave entitlements: enhanced maternity, paternity, childcare, and illness leave Work‑from‑home allowance (€40/month) Food allowance (€55/month) Employee gifting Employee resource groups DEI & Sustainability councils Robust communication and feedback channels Focused Fridays Local events GROW program TKWW University for employee and leader development Employee referral program Gym membership discount Udemy courses Recognition initiatives Work Model This role is ‑eligible and based near one of our office hubs. Starting September 15, 2025, you’ll be expected to work in the office two days a week as part of our hybrid work model. What We Love About You Commit to our customers : You act as one team on behalf of our customers, leading with head and heart, and building what matters for life's most meaningful moments. Raise the bar : You define "great" and work backwards, boldly innovating and keeping momentum toward our shared vision. Be all in : You believe in our mission, take ownership of your work, and debate openly to reach the best outcomes. Celebrate impact : You measure success by the outcomes you create, holding yourself accountable while recognizing progress and lessons learned. What You Love About Us We believe in a wide range of holistic offerings to support our employees so they can live our values every day. From mental wellbeing, physical health, and financial planning to engaging perks and discounts, we celebrate and support the Moments that Matter in and out of the office. We offer flexible vacation, generous parental leave, and prioritize initiatives that support the growth, development, and happiness of our people. Seniority Level Mid‑Senior Employment Type Full‑time Equal Opportunity Employer 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 where 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 processes your personal data to evaluate your application. Only data strictly necessary for this purpose is collected. In some cases, data may also be processed based on The Knot Worldwide’s legitimate interests, such as improving recruitment practices or managing candidate pools, to which you may object at any time. You have the right to access, rectify, or delete your data, and to object to certain uses. For more details, please consult our Privacy Policy. #J-18808-Ljbffr