Data Scientist - Launchpad

Lowe's Companies, Inc.•Charlotte, NC

2d•Onsite

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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.