Data Scientist
| Company | Lowe’s |
|---|---|
| Location | Charlotte, NC, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Junior, Mid Level |
Requirements
- 2 years of experience executing and deploying data science, machine learning, deep learning, and generative AI solutions, preferably in a large-scale enterprise setting (fewer years may be accepted with a master’s or doctorate degree)
- 1 year of SQL and programming experience (fewer years may be accepted with a master’s or doctorate degree)
- Bachelor’s degree in mathematics, statistics, physics, economics, engineering, computer science, data, information science, or related quantitative analytic field (or equivalent work experience in lieu of degree)
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.
Preferred Qualifications
- 1 year of experience using multiple data systems and sources
- 1 year of experience working with cross-functional partners
- Master’s degree in mathematics, statistics, physics, economics, engineering, computer science, data, information science, or related quantitative analytic field