Remote Data Scientist - Pricing Optimization & Deep Learning

The Home Depot; United States; Remote; USD 90,000 - 160,000; Full time

Benefits offered by this job

Health care benefits

401K

ESPP

Paid time off

Success sharing bonus

Job summary

The Home Depot is seeking a Data Scientist to lead price optimization and advanced analytics initiatives, leveraging forecasted outcomes and deep learning to boost profitability and customer experience.

Ideal candidates will have strong Python and SQL skills, experience with optimization (Gurobi preferred), and a track record of delivering scalable data products in a corporate setting. Remote options span multiple US states with virtual employment.

Qualifications

• Bachelor’s degree or equivalent in a quantitative field.
• Proficient in Python and SQL.
• 3+ years of analytics/BI experience.
• PhD in a quantitative field preferred.
• Experience with optimization and deep learning techniques.

Responsibilities

• Design and develop algorithms/models on large datasets to generate business insights.
• Communicate insights to both technical and non-technical stakeholders.
• Collaborate with cross-functional teams to align analytics with business goals.
• Continuously improve data science practices and reusable components.

Skills

Python

SQL

Deep Learning

Optimization

Communication

Education

Bachelor’s degree (quantitative field)

PhD preferred

Tools

Gurobi

TensorFlow/PyTorch

Job description

The Home Depot is seeking a Data Scientist to lead price optimization and advanced analytics initiatives, leveraging forecasted outcomes and deep learning to boost profitability and customer experience.

Ideal candidates will have strong Python and SQL skills, experience with optimization (Gurobi preferred), and a track record of delivering scalable data products in a corporate setting. Remote options span multiple US states with virtual employment.