Senior Data Scientist (BlackLocus division)

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   c ompetitive   i ntelligence within   The Home Depot,   a $1 6 0+ billion-dollar company and   the top home - improvement retailer.   Key accountabilities of   BlackLocus :

• C ollect   competitive intelligence   at scale
• Match Home Depot products to competitor products and   identify   product relationships at scale
• A utomatically pric e   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 accou ntabilities ,   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 Director Engineering BL Lab
• Number of direct reports = 1
• 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   d ata cleaning, data analysis,   predictive analytics, causal inference ,   and   machine learning
• E xperience 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:

The pay range for this position is between $90,000.00 - $190,000.00