Marketing Data Scientists formulate the analytical frameworks and provide the technical rigor to drive pivotal business decisions. In close partnership with Marketing team leads, you’ll identify the fundamental questions we need to ask and have ownership over the data-driven means of addressing them. This role requires long-term specialization in three domains: (1) advanced statistics, (2) execution of targeted marketing tactics, and (3) classical consumer research.

Depending on your area of focus, challenges you may tackle in a typical day include:

  • Measuring the response to emails announcing new products
  • Studying Google search behavior in the wake of our Super Bowl ads
  • Analyzing growth of awareness of Squarespace in London, Sydney, or Singapore - and comparing how awareness relates to trends in word-of-mouth about the company
  • Forecasting demand for customer service
  • Studying the overlap between audiences of different podcasts, and creating tactics for testing new podcasts for Squarespace ads
  • Analyzing the optimal wording in ad campaigns
  • Segmenting customers by product behavior
  • Modeling drivers of customer retention using survival analysis
  • Leading efforts to accurately define a customer’s location
  • Refining marketing attribution and media mix modeling tools

We are seeking multiple Data Scientists who demonstrate sharp intellectual curiosity, data fluency, and a collaborative work ethic. These roles report to an Analytics team lead in New York.

RESPONSIBILITIES

  • Empower data-driven decision-making across the org by defining analytical frameworks to guide key business decisions; develop and maintain dashboards to provide visibility into relevant metrics
  • Surface insights from terabytes of proprietary user, product, and marketing data; communicate compelling recommendations to key stakeholders
  • Formulate innovative hypotheses; design and implement rigorous methodologies for testing them
  • Utilize cutting-edge statistical/machine learning techniques to build models furthering the org’s understanding of and ability to predict consumer behavior
  • Continuously get better - seek out opportunities to further develop your analytical, engineering, statistical, etc. toolkit

QUALIFICATIONS

  • An MS in a relevant technical field or 2+ years of relevant analytical experience
  • Competency with both SQL and a scripting language (Python preferred); Strong competency with at least one of them
  • Experience with statistical and/or ML modeling techniques
  • Ability to communicate effectively with wide-range of audiences
  • Comfort working on open-ended problems with limited guidance
  • Strong data intuition and ability to think probabilistically
  • Ability to devise data-driven solutions to business problems

 

ABOUT SQUARESPACE

Squarespace makes beautiful products to help people with creative ideas succeed. By blending elegant design and sophisticated engineering, we empower millions of people — from individuals and local artists to entrepreneurs shaping the world’s most iconic businesses — to share their stories with the world. Squarespace’s team of more than 700 is headquartered in downtown New York City, with offices in Dublin and Portland. For more information, visit www.squarespace.com/about. 

PERKS 
  • Health insurance with 100% premium covered
  • Flexible vacation & paid time off
  • Equity plan
  • 401(k) plan with employer match
  • Free lunch and snacks
  • Dog-friendly workplace
  • And more

Today, more than a million people around the globe use Squarespace to share different perspectives and experiences with the world. Not only do we embrace and celebrate the diversity of our customer base, but we also strive for the same in our employees. At Squarespace, we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

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Confirmed 19 hours ago. Posted 30+ days ago.

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