ABOUT THE ROLE AND YOUR TEAM:

The Knot Worldwide is actively seeking a skilled Lead Data Scientist to become an integral part of our Marketing Science team. This role is centered around utilizing advanced analytics and statistical methods to empower our marketing team with insights that optimize performance. As a Lead Data Scientist, you will develop analytical tools, conduct ad-hoc analyses, and assist in correlating user activity with marketing initiatives. Your involvement will extend to statistical modeling, investigations, and visualizations, collaborating with various teams to drive measurable outcomes. As a member of the wider Data organization within TKWW, your primary focus will be on constructing analytic models and designing as well as analyzing experiments to quantify the impact of your contributions. In this capacity, you will serve as both a valued partner and trusted advisor, playing a pivotal role in our data-driven decision-making process across the Data and Marketing departments.

RESPONSIBILITIES:

Collaborating with marketing stakeholders across Brand Media, CRM, Product Marketing, or Acquisition Marketing to provide data-driven insights. Conducting in-depth analysis of TKWW user behavior to identify growth opportunities that enhance couple or vendor acquisition and engagement. Tackling advanced analytics challenges related to media mix modeling, geographic experimentation, landing page testing, and lifetime value prediction. Spearheading end-to-end projects from initial ideation and business alignment, through to measurement and deployment of insights. Assisting teams in defining KPIs, setting strategic goals, and designing and analyzing A/B testing for data-driven decision making. Developing and maintaining reports and data products for the organization using various BI tools such as Looker, Qliksense, Shiny, or Streamlit. Effectively communicating, collaborating and presenting results to stakeholders within TKWW to drive data-informed decisions. Investigating novel methodologies to analyze our data for continuous improvement. Mentoring junior team members in analytic and statistical best practices.

SUCCESSFUL LEAD DATA SCIENCE CANDIDATES HAVE:

A bachelor’s or master’s degree in Statistics, Mathematics, Data Science, Engineering, or a related field A minimum of 5-8 years of experience in data science and analytics roles within technology brands, with a preference for experience in a two-sided marketplace or e-commerce domain. Demonstrated experience and knowledge in metrics and models relevant to Marketing. Foundational knowledge of statistics including hypothesis testing, regression analysis, and forecasting, and hands-on experience with A/B testing design and analysis. Experience with causal modeling and econometrics  Advanced knowledge of SQL and ability to write efficient SQL code Ability to code in Python for data manipulation, visualization, and analysis using Jupyter notebooks Experience in using and building self-service analytics tools. Excellent communication skills, both written and verbal, with the ability to explain complex concepts to audiences of varying technical proficiency. A strategic mindset capable of translating business problems into analytics opportunities and solutions. A collaborative attitude that fosters a culture of data-driven decision making across the organization. An innovative spirit that thrives on exploring new ideas and approaches to solve challenging problems.