
10,000+ employees
Founded 1978
🛒 Retail
👥 B2C
💰 Debt Financing on 2007-07
Retail • B2C
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.
🕒 May 16
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10,000+ employees
Founded 1978
🛒 Retail
👥 B2C
💰 Debt Financing on 2007-07
Retail • B2C
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.
• The Sr. Data Scientist works with price optimization based on future forecasted outcomes of price and promotions. • Responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. • Assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. • Serves as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. • Expected to present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions.
• Must be eighteen years of age or older. • Must be legally permitted to work in the United States. • Proficient with Linear Optimization tools (Gurobi preferred) • Past experience developing Optimization solutions and Deep Learning solutions in a professional environment • 6+ years of experience in business intelligence and analytics • PhD in a quantitative field preferred (Computer Science, Math, Statistics, etc) • Proficient in Python and SQL • Mastery utilizing statistical techniques to identify key insights that help solve business problems • Demonstrated proficiency in predictive modelling like optimization, forecasting, or recommendation • Demonstrated proficiency in predictive modelling, data mining, and data analysis.
• Health care benefits • 401K • ESPP • Paid time off • Success sharing bonus
Apply Now🕒 May 16
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