The Home Depot is a leading home improvement retailer, offering a wide range of building materials, home improvement products, lawn and garden products, and related services. The company operates both physical stores and an online platform, providing comprehensive solutions for DIY enthusiasts, professional contractors, and homeowners. The Home Depot is committed to diversity, equity, and inclusion, providing employment opportunities and benefits to a diverse workforce. Additionally, the company places a high emphasis on customer service and associate engagement to maintain its position as a trusted leader in the home improvement industry.
retail β’ home improvement β’ customer service
April 14
The Home Depot is a leading home improvement retailer, offering a wide range of building materials, home improvement products, lawn and garden products, and related services. The company operates both physical stores and an online platform, providing comprehensive solutions for DIY enthusiasts, professional contractors, and homeowners. The Home Depot is committed to diversity, equity, and inclusion, providing employment opportunities and benefits to a diverse workforce. Additionally, the company places a high emphasis on customer service and associate engagement to maintain its position as a trusted leader in the home improvement industry.
retail β’ home improvement β’ customer service
β’ The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. β’ Develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. β’ Design and develop algorithms and models to use against large datasets to create business insights. β’ Supports data science projects by conducting effective analysis to solve business problems. β’ Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies. β’ Communicate insights and recommendations to both technical and non-technical audience.
β’ Must be eighteen years of age or older. β’ Must be legally permitted to work in the United States. β’ Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience. β’ 3+ years of experience in business intelligence and analytics. β’ Working knowledge of Microsoft Excel and Power Point. β’ Experience in a modern scripting language (preferably Python). β’ Experience running queries against data (preferably with Google BigQuery or SQL). β’ Experience in predictive modeling, data mining and data analysis. β’ Experience with data visualization software (preferably Tableau). β’ Experience utilizing statistical techniques to identify key insights that help solve business problems. β’ Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP. β’ Basic knowledge or exposure to predictive modeling, data mining and data analysis.
β’ No travel required. β’ Located in a comfortable indoor area. β’ Most of the time is spent sitting in a comfortable position.
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