Data Scientist, Pricing (Optimization & Deep Learning)

This position is available for virtual employment in the following states: AK, AZ, CA, GA, HI, ID, 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.

About the Role

The Data Scientist works with price optimization based on future forecasted outcomes of price and promotions, requiring experience with optimization and leveraging Deep Learning solutions. The successful candidate will lead data science initiatives that drive business profitability, increased efficiencies, and improved customer experience. This role assists in developing The Home Depot's advanced analytics infrastructure to inform decision-making. Sr. Data Scientists are expected to seek business opportunities to leverage data science as a competitive advantage.

Responsibilities

• Solution Development (55%): Design and develop algorithms and models to use against large datasets to create business insights. Serve as a technical lead for analytics projects, lead small projects, and work independently on solution development. Execute tasks with high efficiency and quality, making appropriate selections and interpretations of advanced analytical methodologies.
• Communicating Results (20%): Effectively communicate insights and recommendations to both technical and non-technical leaders and business partners. Present recommendations confidently to influence execution, prepare reports, and clearly communicate impacts to drive alignment and implementation.
• Business Collaboration (10%): Incorporate business knowledge into solution approaches, develop trust and collaboration with internal customers and cross-functional teams, and work with project teams to determine goals.
• Technical Exploration & Development (15%): Seek further knowledge on key developments in data science, technical skill sets, and additional data sources. Participate in continuous improvement by developing replicable solutions (e.g., codified data products, project documentation, process flowcharts) and build a library of reusable algorithms with documented code.

Requirements

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

Qualifications

• Bachelor’s degree or equivalent in a field related to the job (e.g., Computer Science, Math, Statistics).
• 3+ years of experience in business intelligence and analytics.
• Proficiency in Python and SQL.
• Mastery of statistical techniques to identify key insights and solve business problems.
• Demonstrated proficiency in predictive modeling, including optimization, forecasting, or recommendation systems.

Preferred Qualifications

• Proficient with Linear Optimization tools (Gurobi preferred).
• Past experience developing Optimization and Deep Learning solutions in a professional environment.
• PhD in a quantitative field (e.g., Computer Science, Math, Statistics).

Travel & Physical Requirements

• Typically requires overnight travel less than 10% of the time.
• Most of the time is spent sitting in a comfortable position with frequent opportunities to move about. Rare occasions may require moving or lifting light articles.
• Located in a comfortable indoor area with infrequent unpleasant conditions.

Benefits

Benefits include health care, 401K, Employee Stock Purchase Plan (ESPP), paid time off, and a success-sharing bonus. For a full list of benefits, visit The Home Depot Careers Benefits page.