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.
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
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
Programming experience (Python, Java, Scala, Rust, etc.)
Experience using multiple data systems and sources (such as Hadoop, Spark, Aster, Teradata, etc.)
Lowe's Companies, Inc.