Data Scientist

ny, New York 10022

Post Date: 06/05/2017 Job ID: 83006 Job Category: PIPELINE JOB

Job Title: Data Scientist

Company Description: Leading Retail Company

Location: New York, NY or Dallas, TX or Chicago, IL


As the Data Scientist for Customer Insights, you will use your analytic capabilities to enable data-driven decisions and customer insights across the organization. Your specific responsibilities will include:
  • Delivering statistical models, segmentation analysis, and customer insights that will inform major marketing spend and business decisions
  • Conducting market research studies to learn customer needs, usage and preferences to inform marketing, pricing and product development decisions
  • Convert our data into meaningful and actionable business analysis and insights
  • Partnering with business teams to structure problems, extract and analyze data and present findings and recommendations to our leadership teams

  • 3-5 years of hands-on statistical modeling and/or marketing research experience
  • Minimum of a Bachelor’ s degree in Statistics, Marketing research, Marketing, Business Administration, or related. Related Master’ s degree or MBA preferred
  • Expertise in a variety of analytical techniques including: multivariate/logistic regression models, cluster analysis, predictive modeling, conjoint analysis, correspondence analysis, latent class segmentation, or other advanced methods
  • Experience with an analytics tool (SPSS, R, SAS) and proficiency in SQL and data manipulation is required
  • Experience with questionnaire design, survey analysis and translating data into actionable insights
  • Experience in qualitative research including focus groups and online bulletin boards
  • Experience managing community panels and survey programming using DIY tools is preferred
  • Experience working with large datasets including multi-channel, multi-brand, multi-product environments.
  • Retail and ecommerce experience preferred
  • Strong analytical, project management and communications skills

Salary: Based on Experience

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