- 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:
- 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)
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
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.
Pay Range: $75,300.00 - $143,100.00 annually Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.
