Senior Data Scientist – BlackLocus Division

🕒 July 24

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 18%

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 a team to develop analytical infrastructure and computational capabilities • Develop predictive systems and algorithms for identifying trends and providing business solutions • Drive data analytics and predictive modeling on large datasets to extract meaningful business information using statistics and machine learning techniques • Provide direction on prioritization of work, ensure quality of work outputs, and develop the competencies of direct reports • Establish scalable, efficient processes for large scale data analyses, model development and model implementation • Solve problems creatively with strategic insights • Leverage data to present a compelling business case to optimize price points • Remain knowledgeable on advancements in data science and machine learning

🎯 Requirements

• Must be eighteen years of age or older. • Must be legally permitted to work in the United States. • Experience in data mining, data analysis and predictive modeling • Previous work experience in business intelligence and data analytics • Proven experience utilizing statistical techniques to identify key insights from data to solve business problems • PhD in Computer Science, Math or related quantitative field. • Expert knowledge in manipulating massive datasets, statistical analysis and predictive modeling. • Ability to build scalable systems that analyze huge data sets and make actionable recommendations • Strong communication and data presentation skills • Ability to quickly adapt to new technologies, tools and techniques • Flexible and responsive; able to perform in a fast paced, dynamic, decision making environment and meet aggressive timelines.

🏖️ Benefits

• health care benefits • 401K • ESPP • paid time off • success sharing bonus