Senior Software Engineer

Data scientists interpret and apply data in analyses, and explain findings to business audiences typically, to improve products and processes. Projects support business decision making for multiple business functions. Designs, creates, implements and manages predictive analytics that leverage large and varied data sets, using a wide range of analytical tools, methods and platforms.

ACCOUNTABILITIES

INTERPRETS AND APPLIES DATA ANALYTICS TO TRANSLATE RECOMMENDATIONS INTO BUSINESS INSIGHTS

  • Implements activities that generally impact one or two components/processes of the work of own unit/team/projects
  • Assigned to initiatives that may involve other business unit(s)
  • May lead and recommend business decisions for one or two business functions
  • Develops and may lead in the execution of statistical and mathematical solutions to business problems within business unit
  • Frames problem then determines intended approach and quantitative methods to develop solution
  • Uses analytical rigor and statistical methods to analyze large amounts of data, culling actionable insights using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis and data mining
  • Designs experiments to answer targeted questions
  • Develops materials to explain project findings to Management
  • Develops new algorithms and mathematical approaches to understand Kohl's audiences and solves complex business problems such as optimizing product performance, revenue and adoption
  • Researches new ways for modeling and predicting end-user behavior


QUALIFICATIONS

REQUIRED
  • 3+ years of progressively complex Data Science or analytics experience
  • Bachelor's Degree or equivalent in MIS, Computer Science, Data Science or related field


PREFERRED
  • Master's Degree and/or Ph.D.
  • Retail experience


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