Senior Data Scientist

Newark, NJ Job ID: 10533 Job Category: Consumer Products

Job ID: EB-1599151710
Category: Analytics & Data Sciences
Location: Seattle, WA

This position offers a great opportunity to contribute to the company’s success via conceptualization and development of complete analytical solutions, mining extensive data sets for insights, building batch and real-time scalable customer-facing data products and enabling the next generation of data science capabilities – all with an eye towards ROI. The Senior Data Scientist partners on a cross-functional team of data scientists, statisticians, and business analysts supporting strategic initiatives utilizing the latest in computing technologies and operating across customer transactions to unlock the opportunities to meet our global business goals.


  • Extracts data from various data sources and performs exploratory data analysis, cleanses, wrangles, and transforms data
  • Employs scaling & automation to data preparation techniques
  • Introduces incremental improvements to data analysis, visualization, and presentation techniques to communicate discoveries
  • Researches relevant emerging empirical methods and quantitative tools
  • Possesses in-depth business knowledge to initiate and drive discussions with business partners to identify business issues needing analytic solutions
  • Leads innovative packaging and presentation of insights to business and broader analytics community
  • Develops processes to automate and scale insights operationalization
  • Develops and drives multiple cross-departmental projects
  • Establishes brand and team as subject matter experts in advanced analytics across departments
  • Mentors data scientists in pioneering techniques and business acumen


  • 5+ years of experience in Data Science.
  • Experience building machine learning frameworks and data platforms
  • Marketing domain experience preferred
  • Experience with Machine Learning, SQL, R, Python
  • Big data processing techniques preferred but not required
  • Great communication and story-telling skills
  • Experience with end-to-end deployment of models preferred
  • AWS or Azure experience