Associate Data Scientist
| Company | The Home Depot |
|---|---|
| Location | Atlanta, GA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Entry Level/New Grad |
Requirements
- Must be eighteen years of age or older.
- Must be legally permitted to work in the United States.
Responsibilities
- Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge
- Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation
- Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings
Preferred Qualifications
- Master’s degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
- 3+ years of experience in business intelligence and analytics
- Working knowledge of Microsoft Excel and Power Point
- Experience in a modern scripting language (preferably Python)
- Experience running queries against data (preferably with Google BigQuery or SQL)
- Experience in predictive modeling, data mining and data analysis
- Experience with data visualization software (preferably Tableau)
- Experience utilizing statistical techniques to identify key insights that help solve business problems
- Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
- Basic knowledge or exposure to predictive modeling, data mining and data analysis