Senior Data Scientist: AI & Pricing Analytics (Remote)

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 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.