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 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
- Leads automation and analytical projects, collaborating across functions in Lowe's and Lowe's Digital
- Responsible for influencing, leading the thought process, and defining the appropriate methodology for team members
- Translates or provides guidance to more junior level scientists to translate requirements into an analytical approach; asks the right questions to understand the problem; validates understanding with Stakeholder or Manager
- Builds or provides guidance for building the analytic approach to solving a business problem; helps identify the sources, methods, parameters, and procedures to be used; clarifies expectations with stakeholders and plans resources accordingly
- Leverages deep understanding of statistical techniques and tools to analyze data according to the project plan; communicates with stakeholders to provide updates and manage scope
- Prepares final recommendations, ensuring solutions are best-in-class, implementable and scalable 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
Skill Requirements:
- Computer vision
- Deep Learning
- Pytorch
- TensorFlow
- Open-CV
- Python