JOB DESCRIPTION: Position is based in Charlotte, NC, some teleworking may be permitted. Travel to Lowe’s offices may be required.

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, and other company priorities. 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.

JOB REQUIREMENTS: Job requires a Doctor of Philosophy Degree in Mathematics, Statistics, Physics, Engineering, Computer Science, Data or Information Science or a related field, OR Master’s Degree in Mathematics, Statistics, Physics, Engineering, Computer Science, Data or Information Science or a related field AND 2 years of experience in analytics or a related field, OR Bachelor’s Degree* in Mathematics, Statistics, Physics, Engineering, Computer Science, Data or Information Science or a related field AND 4 years of experience in analytics or a related field.*Employer will accept single degree or combination of degrees, diplomas and/or professional experience equivalent to a Bachelor’s degree. Experience and skills can be gained concurrently during degree pursuit or through any combination of academic coursework or work experience.

Must have prior experience in:

• Hadoop Processing Data using Apache Hive;
• Building deep learning models using Pytorch and Tensorflow;
• Building and using different types of neural networks, such as Recurrent Neural Networks (RNN), Transformers;
• Data Science, such as data preparation, aggregation, manipulation, and analysis using pandas, numpy, scipy;
• Stochastic modelling Simulation Statistical Learning, Natural Language Processing and Generation, and Optimization;
• Implement machine learning solutions using Python;
• Optimize and solve problems using distribution and parallel computation;
• Code version control and management using Github and Docker;
• Machine Learning skills including logistic regression, SVM, XGBoost, Random Forest, Clusters, PCA, etc.;
• Develop numerical computational solutions using Fortran, Matlab; and
• Software for typesetting documents using LaTex.

REQ# 3523818

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.