Associate Data Scientist - Decision Analytics

Home Depot

Georgia

On-site

USD 90,000 - 120,000

Full time

14 days+

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Job summary

Home Depot is seeking an Associate Data Scientist to support data science initiatives in the Decision Analytics team, partnering with Data Scientists to develop models that improve profitability and customer experience. You will work on optimization, forecasting, and analytics across Sales, Delivery and Finance, applying Python, SQL and visualization tools to translate data into strategic insights.

The role emphasizes learning, collaboration with business partners, and communicating results to

Qualifications

  • Bachelor's degree in Computer Science, Mathematics, Statistics or related field.
  • 3+ years of experience in business intelligence and analytics.
  • Experience with Python, SQL and data visualization tools.
  • Strong communication and ability to translate insights for diverse audiences.
  • Familiarity with data warehouses like Google BigQuery.

Responsibilities

  • Design and develop analytics solutions using large datasets to drive profitability and efficiency.
  • Communicate insights through reports and presentations to stakeholders.
  • Stay up to date with industry trends and advanced analytics techniques.

Skills

Analytical thinking
Communication skills
Problem solving
Learning agility
Team collaboration

Education

Bachelor's degree in Computer Science / Math / Statistics or related field
Master's degree (preferred)

Tools

Python
SQL
Google BigQuery
Tableau
Excel / PowerPoint

Job description

Position Purpose

The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This position is in Decision Analytics, an internal data science support team for many areas of the business; this role specifically is involved in supporting sales growth and profitability initiatives with Customer, Delivery, and Finance areas of data. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or 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; 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
  • 20% Communicating Results - 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
  • 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
Direct Manager/Direct Reports
  • This position reports to manager or above
  • This position has 0 direct reports
Travel Requirements
  • No travel required.
Physical Requirements
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
Working Conditions
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Minimum Qualifications
  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.
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
Minimum Education
  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
Preferred Education
  • No additional education
Minimum Years of Work Experience
  • 0
Preferred Years of Work Experience
  • No additional years of experience
Minimum Leadership Experience
  • None
Preferred Leadership Experience
  • Nonel
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