Strategic Data Scientist: Decision Science & Automation

The Home Depot; Atlanta (GA); On-site; USD 110,000 - 140,000; Full time

Job summary

The Home Depot is seeking a Data Scientist to advance data science initiatives that boost profitability, efficiency, and customer experience. You will apply advanced analytics to large datasets and develop reusable algorithms while presenting insights to both technical and non-technical audiences.

Collaborating with cross-functional teams, you will translate data-driven findings into business actions and continuously explore new data sources and methods to improve models and impact.

Qualifications

• Masters in a quantitative field or equivalent work experience.
• 4+ years of experience in business intelligence and analytics.
• Working knowledge of Microsoft Excel and PowerPoint.
• Experience in a modern scripting language (preferably Python).
• Proficient running queries against data (preferably with Google BigQuery or SQL).
• Proficient with data visualization software (preferably Tableau).
• Proficient utilizing statistical techniques to identify key insights that help solve business problems.
• Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP.
• Demonstrated experience in predictive modeling, data mining and data analysis.

Responsibilities

• 55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights.
• 20% Communicating Results - Effectively communicate insights and recommendations to technical and non-technical leaders.
• 10% Business Collaboration - Collaborate with internal customers and cross-functional teams to determine goals.
• 15% Technical Exploration & Development - Seek knowledge on data science developments and build reusable algorithms.

Skills

Python

SQL

Data visualization

Education

Master's degree

Bachelor's degree

Tools

Tableau

Google BigQuery

Job description

The Home Depot is seeking a Data Scientist to advance data science initiatives that boost profitability, efficiency, and customer experience. You will apply advanced analytics to large datasets and develop reusable algorithms while presenting insights to both technical and non-technical audiences.

Collaborating with cross-functional teams, you will translate data-driven findings into business actions and continuously explore new data sources and methods to improve models and impact.