Senior Data Scientist

Job Overview

Purpose of Role:
The primary purpose of this role is to provide advanced analytical capabilities to support data science initiatives. This position gains experience in various areas including, but not limited to: predictive modeling; personalization and recommendation algorithms; natural language processing and text mining; search recall, precision, ranking, and related problems; optimization and mathematical programming with applications in labor scheduling, inventory and capacity planning, network flows, and supply chain optimization.

Responsibility Statements:

  • Mines and extracts data and applies statistics and algorithms necessary to derive insights for Lowe’s and Lowe’s Digital.
  • Supports the generation of an automated insights generation framework for Lowe’s business partners to effectively interpret data.
  • Provides actionable insights through data science on Personalization, Search & Navigation, SEO & Promotions, Supply Chain, Services, other company priorities, etc.
  • Tracks success of Lowe’s through the development of dashboard reports that measure financial results, customer satisfaction, and engagement metrics.
  • Conducts deep statistical analysis, including predictive and prescriptive modeling in order to provide a competitive advantage at Lowe’s.
  • Maintains expert-level knowledge on industry trends, emerging technologies, and new methodologies and applies it to projects as well as using it to guide team members.
  • Leads automation and analytical projects, collaborating across functions in Lowe’s and Lowe’s Digital.
  • Responsible for influencing, leading the thought process, and defining the appropriate methodology for team members.

REQUIRED EDUCATION/EXPERIENCE:

  • Bachelor’s Degree in Computer Science, Statistics, Physics, Economics, Industrial Engineering, Operations Research, or related quantitative analytic field and 2-5 years analytical experience, with knowledge of SQL, programming (Python, Java, Scala, etc.) and various statistical modeling or machine learning techniques

OR

  • Master’s Degree in Computer Science, Statistics, Physics, Economics, Industrial Engineering, Operations Research, or related quantitative analytic field and 1-3 years analytical experience, with knowledge of SQL, programming (Python, Java, Scala, etc.) and various statistical modeling or machine learning techniques

OR

  • Ph.D. in Computer Science, Statistics, Physics, Economics, Industrial Engineering, Operations Research, or related quantitative analytic field and 0-1 years analytical experience, with knowledge of SQL, programming (Python, Java, Scala, etc.) and various statistical modeling or machine learning techniques

PREFERRED EDUCATION/EXPERIENCE:

  • 3+ years’ experience performing predictive analytics at a large-scale enterprise

About Lowe’s:
Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 18 million customers a week in the United States and Canada. With fiscal year 2019 sales of $72.1 billion, Lowe’s and its related businesses operate or service more than 2,200 home improvement and hardware stores and employ approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports its hometown Charlotte region and all communities it serves through programs focused on creating safe, affordable housing and helping to develop the next generation of skilled trade experts. For more information, visit Lowes.com.

About Lowe’s in the Community:
As a FORTUNE® 50 home improvement company, Lowe’s is committed to creating safe, affordable housing and helping to develop the next generation of skilled trade experts through nonprofit partnerships. Across every community we serve, Lowe’s associates donate their time and expertise through the Lowe’s Heroes volunteer program. For the latest news, visit Newsroom.Lowes.com or on Twitter.

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