DATA SCIENTIST

With a career at The Home Depot, you can be yourself and also be part of something bigger.

• Key Responsibilities:
• •Support data science initiatives that drive business profitability, increased efficiencies and improved customer experience.
• •Apply industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems.
• •Ensure that developed codes are documented into a library of reusable algorithms.
• •Design and develop algorithms and models to use against large datasets to create business insights.
• •Participate in large data analytics project teams by serving as a technical lead for analytics projects.
• •May lead small projects and work independently on solution development.
• •Execute tasks with high levels of efficiency and quality.
• •Make appropriate selection, utilization and interpretation of advanced analytical methodologies.
• •Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners.
• •Present recommendations in a confident manner in order to influence execution of recommendation.
• •Prepare reports, updates and/or presentations related to progress made on a project or solution.
• •Clearly communicate impacts of recommendations to drive alignment and appropriate implementation.
• •Incorporate business knowledge into solution approach.
• •Effectively develop trust and collaboration with internal customers and cross-functional teams.
• •Work with project teams and business partners to determine project goals.
• •Seek further knowledge on key developments within data science, technical skill sets, and additional data sources.
• •Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects.
• •Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented.
• •Telecommuting available.

• Minimum Qualifications:
• •Must be eighteen years of age or older.
• •Must be legally permitted to work in the United States.
• •Master’s degree in Data Science, Data Analytics, Mathematics, Statistics, Business Analytics, Business Administration, or a related field and 4 years of experience in a related occupation. Requires 3 years of experience in the following skills:
• •Microsoft and Excel, including experience in pivot tables and excel formulas;
• •Modern scripting language (Python), including experience performing analytical and machine learning tasks using Python libraries like numpy, pandas, scikitlearn, matplotlib;
• •Running queries against data with Google BigQuery or SQL;
• •Advanced SQL skills including working with stored procedures and CTEs;
• •Data visualization software (Tableau), including working with huge datasets connected to dashboards that can be accessed for quick insights retrieval;
• •Utilizing statistical techniques to identify key insights that help solve business problems;
• •Prescriptive Modeling including optimization, computer vision, recommendation (ALS, Collaborative Filtering), search, or NLP;
• Predictive modeling including Logistic/Linear Regression, Decision Trees, XGB, data mining and data analysis.