Lowes Home Improvement

Data Scientist - Merchandising Analytics

  • Job Type: Full Time
  • Industry Type: IT Sector
  • Industry Location: Charlotte
  • Experience: NA
  • No. of Positions: 1
  • Primary Skills: Supply Chain Physics Engineering Computer Python Java
  • Secondary Skills: SQL Hub Programming Teradata
  • Job Location: Charlotte, North Carolina
  • Posted Date: Posted today
Job Description

Data Scientist - Merchandising Analytics

Our Merchandising Analytics team is building out a multi-faceted data science tool that includes clustering, modeling and optimization. We are deciding the right products for the right stores across our almost 2000 stores using a deep learning model. The main responsibilities for this role are to brainstorm with peers on the best ways to tackle solutions driven by our product team, design a working minimum viable product, create a testing suite, and open a pull request with changes saving time to review pull request from others.

Key Responsibilities:

  • 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
  • Serves as a leading member on automation and analytical projects, collaborating across functions in Lowe's and Lowe's Digital
  • Works with more senior level scientists on the team to translate requirements into an analytical approach; asks the right questions to understand the problem
  • Contributes to, or builds the analytic approach to solving a business problem; helps identify the sources, methods, parameters, and procedures to be used; may also communicate with stakeholders on project scope and timelines
  • Gathers and assimilates data according to the project plan; works with the team to discuss analysis and findings
  • Prepares final recommendations, ensuring solutions are implementable in the business
  • Executes plan for measuring impact based on discussions with stakeholders, partners and senior team members
  • Executes projects with full adherence to enterprise project management practices by participating in formal and informal training
  • Maintains knowledge of techniques, technology, industry trends, best practices, and emerging methodologies



Minimum Qualifications:

  • Bachelor's degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 2 years of experience in analytics AND 1 year of programming experience (Python, Java, Scala, Rust, etc.)


OR

  • Master's degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 1 year of experience in analytics


OR

  • Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field


ALSO

  • Knowledge of SQL and various statistical modeling or machine learning techniques



Preferred Qualifications:

  • In most cases Lowe's will not be able to provide sponsorship for roles located in the Charlotte Tech Hub
  • Tensorflow and/or Keras
  • Master's degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field
  • Experience in performing predictive analytics in a large scale enterprise
  • 2 years of experience in data science or advanced analytics in industry
  • SQL experience
  • Programming experience (Python, Java, Scala, Rust, etc.)
  • Experience using multiple data systems and sources (such as Hadoop, Spark, Aster, Teradata, etc.)



About Lowe's:
Lowe's Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 20 million customers a week in the United States and Canada. With fiscal year 2020 sales of nearly $90 billion, Lowe's and its related businesses operate or service more than 2,200 home improvement and hardware stores and employ over 300,000 associates. Based in Mooresville, N.C., Lowe's supports the 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 follow @LowesMedia on Twitter.

Lowe's is an equal opportunity affirmative action employer and administers all personnel practices without regard to race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity or expression, marital status, veteran status, genetics or any other category protected under applicable law.

Relevant Job Openings
CRM
Python Developer or Devops Engineer
CRM
Azure Data Architect with Talend
Azure Cloud Architect
Jr. Java Developer