Sr Data Scientist_Optimization_Suppply Chain

Roles & Responsibilities:

Core Responsibilities:

1. Applies advanced data science, machine learning, and deep learning algorithms necessary to derive insights and to develop solutions on enterprise scale providing a competitive advantage to Lowe’s business.
2. Prepares final recommendations through effective storytelling and actionable insights for therelevant stakeholders, ensuring solutions are best-in-class, implementable and scalable in the business.
3. Tracks success of Lowe's through the development of dashboard reports that measure financial results, customer satisfaction, and engagement metrics
4. Supports the development of automated self-service products and solutions for Lowe's business partners to effectively interpret data and build data products.
5. Highly proficient in Python or equivalent languages to build production ready data science capabilities.
6. 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
7. Leads automation and analytical projects, collaborating across functions in Lowe's and Lowe's Digital
8. Responsible for influencing, leading the thought process, and defining the appropriate methodology for team members
9. 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
10. 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
11. Executes plan for measuring impact based on discussions with stakeholders, partners and senior team members
12. Executes projects with full adherence to enterprise project management practices by participating in formal and informal training

Years of Experience:

1. 5 to 8 yrs. of experience in data science.

Education Qualification & Certifications (optional)

Required Minimum Qualifications:

1. Bachelor's degree in mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field (or equivalent work experience in a related field) AND 4 years of experience in analytics AND 2 years of programming experience (Python, Java, Scala, Rust, etc.)
2. 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.)
3. 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

Skill Set Required

1. Hands on experience in Python & Data Structures to build applications that are scalable
2. Hands-on experience in Machine learning
3. Strong problem solving skills
4. Data munging/wrangling
5. Experience with SQL
6. Experience building and deploying ML models in cloud environments(GCP, Azure, AWS, etc)

Secondary Skills (desired)

1. Operations Research and/or mathematical optimization such as Traveling Salesman Problem, Linear Programming, and Dynamic Programming
2. Experience in the Supply Chain Domain.