Data Scientist

L brands   •  

Reynoldsburg, OH

Industry: Retail & Consumer Goods

  •  

5 - 7 years

Posted 39 days ago

Description

Position Overview:

  • Enterprise Analytics is responsible for managing customer data, statistical modeling and advanced analytics requests for L Brands.
  • The Data Scientist will be responsible for delivery of analytics requests and special projects. He / She will use several data sources and statistical techniques to interpret, analyze and develop solutions to business questions and present findings with actionable recommendations.

Specific Responsibilities:

  • Deliver projects around customer, marketing, merchandizing and inventory analytics and insights including ad-hoc requests originating from enterprise wide brands.
  • Use various statistical techniques like but not limited to predictive modeling, customer profiling, segmentation, data mining etc. to provide relevant & accurate insights
  • Execute predictive model scorings in order to support various customer marketing initiatives.
  • Query structured/unstructured data and perform exploratory data analysis on customer data and provide actionable insights.
  • Present ideas and findings with actionable recommendations in an easily consumable manner.
  • Participate in peer reviews of projects
  • Stay current with business results, strategies, industry standards and best practices.

Qualifications

Qualifications:

  • A degree in statistics / mathematics / economics / engineering / management with 5+ years of experience in statistical/quantitative analysis.

Lead Analyst / Data Scientist:

  • 5+ years of experience in customer / marketing analytics role preferably in retail domain
  • Expert level proficiency in SAS (Base SAS, Enterprise Guide, Enterprise Miner) or R and advanced SQL programming skills in a UNIX environment. Additional technical know-how of Python will be preferred
  • In-depth knowledge of statistical procedures that are applied in segmentation, profiling, and data mining. Prior experience in machine learning techniques will be preferred.
  • Experience in Excel, Excel-VBA and PowerPoint. Ability to automate insights / reports using Macros (SAS and Excel VBA) & other relevant technologies
  • Experience in working with large relational databases (Teradata, Oracle). Prior experience in working on big data technologies will be preferred.
  • Ability to understand business needs to generate relevant accurate insights or translate business needs into analytical specifications
  • Demonstrated analytical & problem solving skills, ability to interpret reports, analyze trends and provide insights
  • Strong written and verbal communication skills. Demonstrated ability to communicate complicated statistical analytical concepts to business stakeholders in a simplified comprehendible manner.
  • Ability to mentor / train other analysts on the team
  • Highly energized personality with a positive attitude and ability to work with minimal supervision, prioritize, multi task and work under tight timelines
  • Advanced degree in Mathematics, Advance statistics, physics, operations research, bio statistics &/or computer science preferred but not required
  • Technically proficient & relevant work experience in R/Python and other big data technologies (Manta, Hadoop, Aster Data) will be MANDATORY.
  • Ability to mentor / train other data scientists & analysts on the team.