[Hiring] Associate Data Scientist @The Home Depot

Role Description

The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies, and improved customer experience. This role works closely with Data Scientists and/or Sr. Data Scientists to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. This role may need to develop skills in one or more data science specializations, such as:

• Optimization
• Computer Vision
• Recommendation
• Search
• NLP

As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level.

Key Responsibilities

• 70% Solution Development:
  • Design and develop algorithms and models to use against large datasets to create business insights.
  • Support data science projects by conducting effective analysis to solve business problems.
  • Execute tasks with high levels of efficiency and quality.
  • Consult 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.
• 20% Communicating Results:
  • Effectively communicate insights and recommendations to both technical and non-technical audiences.
  • Support preparation of reports, updates, and/or presentations related to progress made on a project or solution.
  • Highlight potential impacts of recommendations to drive alignment and appropriate implementation.
• 10% Technical Learning:
  • 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.

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 PowerPoint.
• 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.

Requirements

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.

Benefits

• Health care benefits
• 401K
• ESPP
• Paid time off
• Success sharing bonus

Company Description

For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents:

The pay range for this position is between $70,000.00 - $130,000.00.