Data Scientist, Marketing

Data Scientist, Marketing

This job is no longer open


The Knot Worldwide is in search of a talented and driven Marketing Data Scientist to join our brand new Marketing Science team. The Knot is making significant investments in Marketing across the board and is looking to bring in top talent who can leverage scientific principles and advanced analytics to solve critical business problems, such as media mix modeling, multi-touch attribution, and customer lifetime value. As a Marketing Data Scientist, you’ll be part of the broader Data organization within The Knot and will spend most of your time building statistical and machine learning models, in addition to designing and analyzing experiments to measure the impact of your work.


  • Create solutions to drive marketing decision making and automation, including Media Mix and Multi-touch Attribution Models
  • Develop methodologies for measuring marketing performance across different parts of customer journeys and make recommendations for next best marketing actions at the user- or segment-level to drive Lifetime Value
  • Answer strategic marketing questions by analyzing behavioral data
  • Partner with business stakeholders to drive experimentation in practice
  • Communicate, collaborate, and present results to marketing stakeholders within The Knot Worldwide
  • Explore novel ways to look at our data


  • Master's Degree or Ph.D. preferred
  • Experience building MMM, MTA, or LTV models
  • Strong knowledge of marketing concepts
  • Proficiency in key statistical and machine learning techniques (predictive modeling, classification, clustering, text analytics, recommender systems, data mining methods, forecasting, and other advanced techniques)
  • Proficiency with R or Python
  • Familiarity with common Linux command line tasks and version control software like git or svn preferable
  • Ability to communicate effectively and influence others
  • Ability to work in a fast paced environment and shift gears quickly


#LI-KS1 #LI-Remote

This job is no longer open
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