Job description

Position Overview

Ralph Lauren Corporation is a global leader in luxury fashion and design. As a part of our digitization strategy, we are in the process of building advanced analytics & process optimization capabilities to enhance decision support and drive operational efficiencies across all our commercial functions.

We are seeking a driven and innovative Data Scientist / Solutions Architect to join our advance analytics & process optimization team embedded within International Merchandising and Sales operations group. In this role, you will utilize your analytical, statistical, and programming skills to collect, analyze, and interpret large data sets to provide insights aimed at effective decision making & optimizing process outputs.

Essential Duties & Responsibilities

Duties and responsibilities

  • Act as an internal solution consultant that identifies long standing bottlenecks, advises on which technologies, platforms and methods to use and helps creating solutions from project inception to completion

  • Work closely with cross-functional teams to develop tools that organize, collect and standardize data to solve complex business problems

  • Drive automation in labor-intensive processes such as Sales forecasting, Assortment planning Pricing, Store clustering etc. through Systemic Data manipulation& Processing.

Shared accountabilities

  • Collaborate with operational teams to identify new ways of working.
  • Collaborate with IT teams to identify solutions leveraging best in class technologies

  • Collaborate with cross functional teams to assess E2E change impact

Experience, Skills & Knowledge

  • Bachelor’s degree or higher in Statistics, Computer Science, Mathematics, Software Engineering, or related quantitative field (preferred, but not required)

  • Hands-on experience with C++, Python, VBA, R, AWS or other related languages and platforms

  • Hands-on experience with Data Visualization tools like Tableau

  • Proven track record and enthusiasm for complex problem solving and analysis, including working with large data sets

  • Strong ability using a variety of data mining / data analysis methods, using a variety of data tools, building and implementing models, using / creating algorithms and creating / running simulations

  • Understanding of business functions (Forecasting, Assortment Planning, Pricing et). is desirable.

  • Fluency in English. Additional Languages are Plus

  • Excellent communication and presentation skills

  • Concrete passion for Diversity & Inclusion values

  • Excitement about teamwork and straight talk

  • +1 year of experience in similar position is desirable

Data Scientist

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