Posted 22 days ago by

Data Scientist

New York City, NY, United States
Employment: Full Time Experience: Mid-Level

FMG is looking for someone who can use statistical tools to analyze its digital site, advertising and commerce data and tell a story with it: Interpret the data, gain insights, and make recommendations to grow efficiencies (by optimizing manual tasks), revenue, our audience and engagement.

Position responsibilities (3-7 years of professional/academic experience):

  • Multi-task and work in a fast paced and changing digital media environment.
  • Collaborate closely with different functional teams across the organization such as Editorial, E-commerce, Data Engineers and Product to identify opportunities for leveraging company data as well as implement solutions and monitor outcomes.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Think critically to identify key metrics and track them using various analytics and ad reporting tools.
  • Work with Data Engineering to create dashboards: Python, Flask, HTML, Bootstrap, CSS, JavaScript, d3.js, Git (version control), BASH (a plus).
  • Query & analyze data: SQL, excel & pivot table mastery.
  • Data analysis, visualization & predictive modeling: Python (incl. pandas, scikit-learn), R (incl. ggplot2), Redshift/BigQuery/SQL-like language, Hadoop/Spark/other ‘big data’ framework is a plus.
  • Experience with the following tools is a plus: Google Analytics, DFP, Moat, multivariate testing tools and methodologies.
  • Knowledge of tag management systems is a plus
  • Advertising and media experience is a plus


  • Undergraduate degree in Mathematics, Physics, Statistics, Economics, Engineering, Data Science, Communications, Marketing
  • Graduate degree strongly preferred



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