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, Computer Science, Mathematics, Statistics, Business Analytics, Business Administration, or a related field and 5 years of experience in a related occupation. Requires 5 years of experience in the following skills:
• •Predictive Machine Learning modeling including optimization, recommendation, computer vision, search, or NLP;
• •Data mining, and data analysis, including identifying patterns, building insights, and supporting data driven decision-making;
• •Statistical techniques (A/B testing, Correlation analysis, and Clustering) to identify key insights that help solve business problems;
• •Modern scripting language (Python and PySpark);
• •Querying very large-scale datasets in distributed data systems using SQL (Google BigQuery);
• •Visualization software (Tableau) and library (Matplotlib, Seaborn, and Plotly);
• •Presenting technical data to leadership/stakeholders and providing insights and recommendations on projects/initiatives in a retail/ecommerce environment.