The primary purpose of the Data Scientist is toprovideanalytical capabilities to support data science initiatives. This position solves complex problems with close supervision and direction of senior colleagues andis responsible forthe 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. Ifyourelooking to break into Tech,wevedeveloped 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 andlaythe groundwork for the future of tech. If you want to make a difference in your work and community,youllfind a home here at Lowes.
You must be available to start on Monday, January 25th, 2027.
This program offers experience to candidates who want to break into tech by following our program timeline below:
Orientation 1 Week
Learn Lowes policies, benefits, and business strategy
Hands-on integration with Lowes 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 drivingbig changeswith Lowes.
Youllgain 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; helpsidentifythe 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 byparticipatingin formal and informal training.
Maintainsknowledge of techniques, technology, industry trends, best practices, and emerging methodologies and applies it to projects.
Minimum Qualifications:
Bachelors 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:
Masters 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
