Data Scientist - Launchpad

Posted 11 Hours Ago
Charlotte, NC
Entry level
Consumer Web • eCommerce • Information Technology • Retail • Software • Analytics • App development
Curiosity wanted. Innovation required.​​​​​​​
The Role
The Data Scientist position in the Launchpad Program at Lowe's offers candidates the opportunity to develop skills in tech through hands-on experience and training. Responsibilities include mining data, conducting statistical analysis, building solutions, and collaborating with team members to address business challenges.
Summary Generated by Built In

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.
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.
Job Description
• 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.
Required 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 Qualifications:
• 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
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.

Top Skills

SQL

What the Team is Saying

Seemantini Godbole
Vivek B.
Laura M.
Hannah W.
Margot F.
Rachel L.
Morgan S.
Elaina W.
The Company
HQ: Mooresville, NC
300,000 Employees
Hybrid Workplace
Year Founded: 1921

What We Do

It’s curious to think of innovation and stability co-existing. But we pair a 100-year track record of success with a hunger to do things differently. Everyone is in the work — tackling complex problems where your impact can build back or build up the communities we serve.

We fill our halls with curious minds from all walks of life. Our differences make us stronger, which is why our leaders build cultures of recognition and inclusion. You are heard, and your curiosities are celebrated and championed here.

Why Work With Us

We have built a space where the curious can move freely. Up in title, up in skills, to the side with teams, or back to try something completely new. We help you find your path — because when you win, we all win.

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Lowe’s Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 2 days a week
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HQMooresville, NC
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Charlotte, NC
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Kirkland, WA
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