The Data Scientist role involves analytical support applying machine learning and deep learning statistical analysis and preparing business solutions under supervision.

Innovate in Charlotte
Thank you for dedicating your time and talent to Lowe's. We want to give you more opportunities to learn and grow so if you find a position you're interested in below we encourage you to apply!
Your Impact
The primary purpose of the Data Scientist is to provide analytical capabilities to support data science initiatives. This position solves complex problems with close supervision and direction of senior colleagues and is responsible for the data science support of various company initiatives. Finally this position supports the development of automated self-service products and solutions for business partners to effectively interpret data and build data products.
About the Launchpad Program
The tech industry is constantly evolving creating new opportunities and challenges for businesses globally. If you're looking to break into Tech we've developed a program where you will have the opportunity to engage with tech leaders develop your skills and learn more about our culture while advancing your career. In this program you will gain hands-on experience in your targeted discipline and lay the groundwork for the future of tech. If you want to make a difference in your work and community you'll find a home here at Lowe's.
You must be available to start on Monday June 22nd 2026.
This program offers experience to candidates who want to break into tech by following our program timeline below:
Orientation • 1 Week
• Learn Lowe's policies benefits and business strategy
• Hands-on integration with Lowe's culture
• Learn tech processes systems and operations
Bootcamp • 8 Weeks
• Fast-paced learning in targeted discipline
• Dedicated coaching with a structured curriculum
• Skills assessments
• Individual & Group Projects
Rotation 1 & 2 • 12 Months
• Rotations in different areas of Tech
• Hands-on experience & meaningful work
• Professional development
Final Placement
On completion of Launchpad you are matched with a Tech team that best suits your interests to continue advancing your career and driving big changes with Lowe's.
You'll gain valuable skills and a place to connect with tech leaders all while finding full-time job placement in this expanding industry.
Innovate in Charlotte
This opportunity 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.
What You Will Learn
• Mines and extracts data and applies statistics machine learning and deep learning algorithms necessary to derive insights and to develop solutions providing a competitive advantage to the business.
• Conducts deep statistical analysis including predictive and prescriptive modeling to provide a competitive advantage to the business.
• 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 solution to solve 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 scalable and implementable in the business.
• Executes plan for measuring impact based on discussions with partners and senior team members.
• Executes projects with full adherence to enterprise product and project management practices by participating in formal and informal training.
• Maintains knowledge of techniques technology industry trends best practices and emerging methodologies and applies it to projects.
Minimum Qualifications:
• Bachelor's degree in mathematics statistics physics economics engineering computer science data information science or related quantitative analytic field
• 1 year of SQL and programming experience
• 2 years of experience executing and deploying data science machine learning deep learning and generative AI solutions preferably in a large-scale enterprise setting
Preferred Skills/Experience:
• Master's degree in mathematics statistics physics economics engineering computer science data information science or related quantitative analytic field
• 1 year of experience using multiple data systems and sources
• 1 year of experience working with cross-functional partners
Benefits

• 10% Associate Discount
• For information about our benefit programs and eligibility please visit: https://talent.lowes.com/us/en/benefits .

About Lowe's
Lowe's Companies Inc. (NYSE: LOW) is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion Lowe's operates over 1700 home improvement stores and employs approximately 300000 associates. Based in Mooresville N.C. Lowe's supports the communities it serves through programs focused on creating safe affordable housing improving community spaces helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information visit Lowes.com .
About Lowe's
Lowe's Companies Inc. (NYSE: LOW) is a FORTUNE® 100 home improvement company with total fiscal 2025 sales of more than $86 billion. Lowe's employs approximately 300000 associates and operates over 1750 home improvement stores 540 branches and 120 distribution centers. Based in Mooresville N.C. Lowe's supports the communities it serves through programs focused on creating safe affordable housing improving community spaces helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. 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.