Sr Data Scientist – ACI Platform

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.

A Senior Data Scientist solves complex problems that do not yet have solutions in the research. Therefore, the individual in this role must be an expert in his/her field and confident in interacting and proposing solutions to the business. This role influences the thought process and methodology for other team members.

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
• 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 a 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

Qualifications:
• Bachelor’s degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 4 years of experience in analytics AND 2 years of programming experience (Python, Java, Scala, Rust, etc.)
• Master’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.)
• Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 1 year of experience in analytics
• Knowledge of SQL and various statistical modeling or machine learning techniques
• Ph.D. degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field
• 3 years of experience performing predictive analytics at a large scale enterprise
• 3 years of experience in data science or advanced analytics in the industry
• SQL Experience
• Programming experience (Python, Java, Scala, Rust, etc.)
• Experience using multiple data systems and sources (such as Hadoop, Spark, Aster, Teradata, etc.)