Senior Data Scientist (BlackLocus division)

About this role

With a career at The Home Depot, you can be yourself and also be part of something bigger.

The Home Depot is able to offer virtual employment of this position in the following states: AK, AZ, CA, GA, HI, ID, IL, KS, KY, ME, MA, MI, MN, MT, NE, NV, NH, NJ, NM, NY, ND, OH, OR, RI, SD, TX, UT, VT, WA, WV, WI, WY

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

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