Senior Data Scientist (BlackLocus division)
At a glance
Senior Data Science role at Homedepot. Remote, United States · full-time · $90,000–$190,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build algorithms and models from large datasets to produce insights for competitive intelligence, pricing or assortment decisions
- Set work priorities, check output quality and help direct reports strengthen their skills
- Create repeatable methods for large-scale analysis, model development and putting models into use
- Use data to shape pricing recommendations and make a clear business case for the proposed price points
- Track developments in data science and machine learning, then identify where they could apply
What you bring
- At least seven years of work experience and a bachelor's degree or equivalent in a related field
- Strong Python and SQL experience, plus skills in data preparation, predictive analytics, causal inference and machine learning
- Experience building and scaling advanced AI systems, including generative AI or agent-based solutions
- Strong software engineering skills for creating maintainable, production-ready systems
Who this fits
This senior role suits someone who can turn technical analysis into clear business recommendations and work across technical and business teams. You will help guide direct reports. The role requires legal authorization to work in the United States, and virtual employment is unavailable in Alabama, Arkansas or another listed state. Overnight travel is typically under ten percent.
From the employer
With a career at The Home Depot, you can be yourself and also be part of something bigger.
The Home Depot CANNOT offer virtual employment of this position in the following states:
Alabama, Arkansas, Connecticut, Colorado, Delaware, Florida, Iowa, Indiana, Louisiana, Maryland, Missouri, Mississippi, North Carolina, Oklahoma, Pennsylvania, South Carolina, Tennessee, Virginia
Position Purpose:
BlackLocus is the center of excellence for competitive intelligence within The Home Depot, a $160+ billion-dollar company and the top home-improvement retailer. Key accountabilities of BlackLocus:
- Collect competitive intelligence at scale
- Match Home Depot products to competitor products and identify product relationships at scale
- Automatically price over 3 million online-only products
- Leverage GenAI to surface key insights related to competitive intelligence, assortment, and pricing
This specific position may focus on any or all of BlackLocus’ key accountabilities, and the mix may vary over time. Regardless of area of focus, this person will directly influence competitive intelligence, pricing, and assortment decisions for a Fortune 25 company.
Key Responsibilities:
- 25% Design and develop algorithms and models to use against large datasets to create business insights.
- 25% Provide direction on prioritization of work, ensure quality of work outputs, and develop the competencies of direct reports.
- 20% Establishing scalable, efficient processes for large scale data analyses, model development and model implementation
- 20% Solve problems creatively with strategic insights. Leverage data to present a compelling business case to optimize price points.
- 10% Remain knowledgeable on advancements in data science and machine learning. Identify opportunities to apply learnings.
Direct Manager/Direct Reports:
- Position reports to Sr. Manager, Data Science
Travel Requirements:
- Typically requires overnight travel less than 10% of the time.
Physical Requirements:
- Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
Working Conditions:
- Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Minimum Qualifications:
- Must be eighteen years of age or older.
- Must be legally permitted to work in the United States.
Preferred Qualifications:
- PhD or Master’s degree in a quantitative field (Statistics, Operations Research, Economics, Computer Science, etc.)
- Extensive experience with Python and SQL
- Outstanding skills in data cleaning, data analysis, predictive analytics, causal inference, and machine learning
- Experience designing, testing, deploying, and scaling advanced AI systems:
- Developing generative AI and agent-based solutions
- Leveraging cloud AI platforms, embedding techniques, and multimodal models
- Applying prompt optimization and statistical analysis to drive system performance
- Strong software engineering skills, including development of scalable, maintainable, production-grade systems
- Exceptional written and verbal communication skills, with the ability to translate complex technical concepts into easily interpretable material for business stakeholders
- Demonstrated ability to build strong cross-functional partnerships and collaborate effectively across technical and business teams
Minimum Education:
- The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
Preferred Education:
- No additional education
Minimum Years of Work Experience:
- 7
Preferred Years of Work Experience:
- No additional years of experience
Minimum Leadership Experience:
- None
Preferred Leadership Experience:
- None
Certifications:
- None
Competencies:
- 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 offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.
For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents:
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