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Data Scientist, Pricing (Optimization & Deep Learning

Job in Peachtree Corners, Gwinnett County, Georgia, 30092, USA
Listing for: The Home Depot
Full Time position
Listed on 2026-08-23
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 110000 - 160000 USD Yearly USD 110000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist, Pricing (Optimization & Deep Learning)

The Home Depot is able to offer virtual employment of this position in the following states:

AK, AZ, CA, GA, HI, , IL, KS, KY, ME, MA, MI, MN, MT, NE, NV, NH, NJ, NM, NY, ND, OH, OR, RI, SD, TX, UT, VT, WA, WV, WI, WY

Position

Purpose:

The Data Scientist works with price optimization based on future forecasted outcomes of price and promotions. The successful candidate will be responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage.

As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.

Key Responsibilities:
  • 55% Solution Development
    - Design and develop algorithms and models to use against large datasets to create business insights;
    Participates in large data analytics project teams by serving as a technical lead for analytics projects;
    May lead small projects and work independently on solution development;
    Execute tasks with high levels of efficiency and quality;
    Make appropriate selection, utilization and interpretation of advanced analytical methodologies
  • 20% Communicating Results
    - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners;
    Present recommendations in a confident manner in order to influence execution of recommendation;
    Prepare reports, updates and/or presentations related to progress made on a project or solution;
    Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
  • 10% Business Collaboration
    - Incorporate business knowledge into solution approach;
    Effectively develop trust and collaboration with internal customers and cross-functional teams;
    Work with project teams and business partners to determine project goals
  • 15% Technical Exploration & Development
    - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources;
    Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects;
    Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented
Direct Manager/Direct Reports:
  • This position typically reports to Manager or above
  • This position has 0 Direct Reports
Travel Requirements:
  • Typical requires overnight travel less than 10% of the time.
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:
  • Past experience developing forecasting solutions and Deep Learning solutions in a professional environment
  • 3+ years of experience in business intelligence and analytics
  • PhD in a quantitative field preferred (Computer Science, Math, Statistics, etc)
  • Proficient in Python and SQL
  • Mastery utilizing statistical techniques to identify key insights that help solve business problems
  • Demonstrated proficiency in predictive modelling like optimization, forecasting, or recommendation
  • Demonstrated proficiency in predictive modelling, 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:
  • 3
Preferred Years of

Work Experience:
  • No additional years of experience
Minimum Leadership

Experience:
  • None
Preferred Leadership

Experience:
  • None
Certifications:
  • None
Competencies:
  • Action Oriented:
    Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
  • Business Insight:
    Applying knowledge of the business and the marketplace to advance the organization's goals
  • Collaborates:
    Building partnerships and working collaboratively with others to meet shared objectives
  • Communicates Effectively:
    Developing and delivering multi-mode communications…
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