Senior Data Scientist, Pricing – Deep Learning, Demand Forecasting

🕒 August 13

🇺🇸 United States – Remote

💵 $90k - $190k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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The Home Depot

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1978

🏗️ Construction

📦 Logistics

🛒 Retail

💰 Debt Financing on 2007-07

Construction • Logistics • Retail

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.

📋 Description

• Lead data science initiatives that drive profitability, efficiency, and customer experience improvements • Develop advanced analytics infrastructure to inform decision making • Forecast outcomes of pricing and promotion actions using AI, deep learning, and forecasting techniques • Lead data science projects and collaborate with project/product managers • Prioritize tasks, balance workload, and mentor data scientists • Present insights and recommendations to leaders and business partners • Explain benefits and impacts of recommended solutions • Provide input on staffing needs and participate in recruiting and hiring • Design and develop algorithms and models using large datasets • Select, utilize, and interpret advanced analytical methodologies • Prepare project reports, updates, and presentations • Determine project goals with project teams and business partners • Direct work prioritization and ensure quality • Mentor and coach junior team members • Collaborate on workload and resource distribution • Educate technical and non-technical business partners on advanced analytics • Seek new business opportunities for data science • Research developments in data science, technical skills, and data sources • Develop replicable solutions, documentation, process flowcharts, and reusable algorithms • Define best practices and vision for data analysis and model productionalization • Document developed code

🎯 Requirements

• Must be 18 years of age or older • Must be legally permitted to work in the United States • Bachelor's degree or equivalent degree in a related field, or equivalent degree through the typical education path • Proficiency in time series forecasting and deep learning techniques • 6+ years of experience in business intelligence and analytics preferred • Working knowledge of Microsoft Excel and PowerPoint • Proficiency in a modern scripting language, preferably Python • Proficiency querying data, preferably using Google BigQuery or SQL • Proficiency with data visualization software, preferably Tableau • Mastery of statistical techniques for identifying business insights • Demonstrated proficiency in predictive modeling, data mining, and data analysis • Minimum 5 years of work experience

🏖️ Benefits

• Health care benefits • 401K • ESPP • Paid time off • Success sharing bonus