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.

Lowe's Technology organization believes that in-person collaboration is highly effective and helps build relationships and strengthens our culture. As such, we are leveraging an Open Office approach in how we work, meaning our tech associates will leverage time in the office to focus on highly collaborative activities as well as some remote / work from home time for autonomous endeavors. Each role has different business-driven collaboration needs that will require in-office presence.

Job Summary:
The primary purpose of this role is to provide advanced analytical capabilities to support data science initiatives. This position gains experience in various areas including, but not limited to: predictive modeling; personalization and recommendation algorithms; natural language processing and text mining; search recall, precision, ranking, and related problems; optimization and mathematical programming with applications in labor scheduling, inventory and capacity planning, network flows, and supply chain optimization.

Key Responsibilities:

• Mines and extracts data and applies statistics and algorithms necessary to derive insights for Lowe's and Lowe's Digital
• Supports the generation of an automated insights generation framework for Lowe's business partners to effectively interpret data
• Provides actionable insights through data science on Personalization, Search & Navigation, SEO & Promotions, Supply Chain, Services, other company priorities, etc.
• Tracks success of Lowe's through the development of dashboard reports that measure financial results, customer satisfaction, and engagement metrics
• Conducts deep statistical analysis, including predictive and prescriptive modeling in order to provide a competitive advantage at Lowe's
• Maintains expert-level knowledge on industry trends, emerging technologies, and new methodologies and applies it to projects as well as using it to guide team members
• Serves as a leading member on automation and analytical projects, collaborating across functions in Lowe's and Lowe's Digital
• 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 analytic approach to solving 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 implementable in the business
• Executes plan for measuring impact based on discussions with stakeholders, partners and senior team members
• Executes projects with full adherence to enterprise project management practices by participating in formal and informal training
• Maintains knowledge of techniques, technology, industry trends, best practices, and emerging methodologies

Minimum Qualifications:

• Bachelor's degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 2 years of experience in analytics AND 1 year of programming experience (Python, Java, Scala, Rust, etc.)

OR

• Master's degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 1 year of experience in analytics

OR

• Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field

ALSO

• Knowledge of SQL and various statistical modeling or machine learning techniques

Preferred Qualifications:

• In most cases Lowe's will not be able to provide sponsorship for roles located in the Technology Hub.
• Master's degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field
• Experience in performing predictive analytics in a large scale enterprise
• 2 years of experience in data science or advanced analytics in industry
• SQL experience
• Programming experience (Python, Java, Scala, Rust, etc.)
• Experience using multiple data systems and sources (such as Hadoop, Spark, Aster, Teradata, etc.)

EEO Statement
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.