Data Scientist - Forecasting/ML

Lowe’s Charlotte, NC

Company

Lowe’s

Location

Charlotte, NC

Type

Full Time

Job Description

Work with a Winning Team
As part of a Fortune 50 company and retail leader, your work can change an entire industry. Our CEO is a forward-thinker when it comes to tech, and with one of Forbes Top 50 CIOs leading the charge, you can come to work knowing you'll have access to the data, tools, and support that few other companies can offer. We also know what it takes to create an inclusive culture that supports you. Our teams are structured around the engineer, giving you the support you need to do your best work. Since we've been in business for over 100 years, we've built an excellent track record of growth and success. There's peace of mind knowing you have the stability and resources you need to focus on solving tough challenges. And as you solve these challenges, know you'll be surrounded by supportive associates with curious minds who listen to you, respect you, and recognize your hard work.
Innovate in Charlotte
This position is based at our on-site Tech Hub in Charlotte, North Carolina. Lowe's Tech Hub is an ultramodern work environment, complete with cutting-edge technology, collaborative workspaces, an on-site barista and Zen Garden, and other perks to enhance your work experience.
Job Summary
Lowe's Forecasting team is seeking a motivated Data Scientist - Forecasting (Machine Learning). You will build and deploy state of the art predictive models for use cases such as item-location demand forecast, labor & truck planning, inventory management, supply chain optimization, financial expense prediction. Join us if you are also excited about extending machine learning and data engineering to practical, scalable, time and memory efficient applications. Lowe's Home Improvement is a rapid - growing retailer (Fortune 50 companies) with millions of customers & products and billions of records. Here at Lowe's Forecasting, you will have the freedom and ownership to lead cutting-edge research and impactful projects, in a collaborative and flexible environment with work-life balance.
What you will do

  • Lead the full development lifecycle from POC, MVP to Production of ML models.
  • Develop and maintain pipelines for training and deploying ML models.
  • Collaborate with data scientists, data engineers and product managers to ensure that business specifications are translated into flexible, scalable, and maintainable solutions.
  • Research and stay abreast of state-of-the-art machine learning technologies.
  • Follow code standards and best practices.
  • Prepare and present data stories to business partners for adoption.
  • Mentor junior team members.


Preferred Qualifications:

  • 1 year of experience using multiple data systems and sources
  • 1 year of experience working with cross-functional partners
  • SQL and programming experience
  • Forecasting experience is a plus master's degree in mathematics, statistics, physics, economics, engineering, computer science, data, information science, or related quantitative analytic field


About Lowe's
Lowe's Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowe's operates over 1,700 home improvement stores and employs approximately 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.
Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.

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Date Posted

01/08/2025

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