Senior Data Scientist (BlackLocus division)

The Home Depot; Texas; A distancia; USD 90.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health care benefits

401K

ESPP

Paid time off

Success sharing bonus

Descripción de la vacante

The Home Depot is seeking a senior data scientist to design and implement scalable AI/ML solutions for competitive intelligence, pricing, and assortment decisions at a Fortune 25 company. You will work on large datasets, develop predictive models, and leverage GenAI to surface actionable insights.

Ideal candidates have a PhD or Master’s in a quantitative field, strong Python/SQL skills, and experience building production-grade systems with clear business impact.

Formación

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• Bachelor's degree or equivalent in a related field.

Responsabilidades

• Design and develop algorithms and models to use against large datasets to create business insights.
• Provide direction on prioritization of work, ensure quality of work outputs, and develop the competencies of direct reports.
• Establishing 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. Identify opportunities to apply learnings.
• Reports to Director Engineering BL Lab; 1 direct report.
• Occasional travel up to 10% of the time.

Conocimientos

Python

SQL

Data analysis

Machine learning

Communication

Cross-functional collaboration

Educación

Bachelor's degree

PhD or Master’s degree in a quantitative field

Herramientas

Cloud AI platforms

Data pipelines

Version control

Descripción del empleo

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 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 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 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.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

$90,000.00 - $190,000.00