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Data Scientist - Decision Analytics

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Home Depot / THD
Full Time position
Listed on 2026-09-03
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 110000 - 150000 USD Yearly USD 110000.00 150000.00 YEAR
Job Description & How to Apply Below

Shape analytics solutions that improve profitability, efficiency, and customer experience for Home Depot in Atlanta.

Responsibilities
  • Design and develop algorithms and models to generate business insights from large datasets
  • Serve as a technical lead on large data analytics project teams
  • Lead small projects and work independently on solution development
  • Apply advanced analytical methodologies, including appropriate selection, utilization, and interpretation
  • Develop approaches that incorporate business knowledge
  • Communicate insights and recommendations to technical and non-technical leaders, and business partners
  • Deliver recommendations in a confident manner to influence execution and implementation
  • Prepare reports, progress updates, and presentations for projects and solutions
  • Clearly explain the impact of recommendations to support alignment and appropriate rollout
  • Build trust and collaboration with internal customers and cross-functional teams
  • Partner with project teams and business stakeholders to define project goals
  • Stay current on key developments in data science, technical skill sets, and additional data sources
  • Contribute to continuous improvement by creating replicable solutions (for example, codified data products, documentation, process flowcharts) for reuse in future projects
  • Build and maintain a library of reusable algorithms; document developed code for future use
  • Develop trust and collaboration through effective cross-functional work
Requirements
  • Must be eighteen years of age or older
  • Must be legally permitted to work in the United States
  • Bachelor’s degree program or equivalent degree in a field related to the job
  • Minimum experience: 3 years
Technologies
  • Microsoft Excel
  • Power Point
  • Python
  • Google Big Query
  • SQL
  • Tableau
Position Purpose
  • Support data science initiatives that drive business profitability
    , increased efficiencies
    , and improved customer experience
  • Use industry-leading analytical methodologies to work with large datasets and solve business problems
  • Document developed code into a library of reusable algorithms
  • Depending on the data science team, build knowledge in one or more specializations such as:
    optimization
    , computer vision
    , recommendation
    , search
    , or NLP
Work Location and Logistics
  • Location: Atlanta, GA (onsite)
  • Travel requirements: Typically overnight travel less than 10%
Working Conditions
  • Most time is spent sitting in a comfortable position with frequent opportunity to move about
  • On rare occasions, may need to move or lift light articles
  • Located in a comfortable indoor area; unpleasant conditions would be infrequent and not objectionable
Preferred Qualifications
  • Master’s in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
  • 4+ years of experience in business intelligence and analytics
  • Working knowledge of Microsoft Excel and Power Point
  • Experience in a modern scripting language (preferably Python)
  • Proficient running queries against data (preferably Google Big Query or SQL)
  • Proficient with data visualization software (preferably Tableau)
  • Proficient utilizing statistical techniques to identify key insights for business problem solving
  • Knowledgeable in prescriptive modeling such as optimization, computer vision, recommendation, search, or NLP
  • Demonstrated experience in predictive modeling, data mining, and data analysis
Competencies
  • Action Oriented: Takes on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
  • Business Insight: Applies knowledge of the business and the marketplace to advance organizational goals
  • Collaborates: Builds partnerships and works collaboratively with others to meet shared objectives
  • Communicates Effectively: Delivers multi-mode communication for different audiences
  • Customer Focus: Builds customer-centric solutions
  • Drives Results: Achieves results even under tough circumstances
  • Nimble Learning: Learns through experimentation using successes and failures
  • Optimizes Work Processes: Improves efficiency and continuously enhances processes
  • Plans and Aligns: Plans and prioritizes work aligned with organizational goals
  • Self-Development: Seeks growth through formal and informal development channels
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