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The Home Depot Logo

Senior Data Scientist, Online Insights

The Home Depot

Salary not specified
Oct 8, 2025
Springfield, MA, US
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The Home Depot is looking to solve business problems by leveraging data science to drive profitability, increase efficiencies, and improve customer experience. They aim to build an advanced analytics infrastructure to inform decision-making and gain a competitive advantage through data science.

Requirements

  • Proficient in a modern scripting language (preferably Python)
  • Proficient running queries against data (preferably with Google BigQuery or SQL)
  • Proficient with data visualization software (preferably Tableau)
  • Mastery utilizing statistical techniques to identify key insights that help solve business problems
  • Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
  • Demonstrated proficiency in predictive modeling, data mining and data analysis
  • Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP

Responsibilities

  • Proficiently design and develop algorithms and models to use against large datasets to create business insights
  • Execute tasks with high levels of efficiency and quality
  • Make appropriate selection, utilization and interpretation of advanced analytical methodologies
  • Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners
  • 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
  • Provide direction on prioritization of work and ensure quality of work

Other

  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.
  • Typically requires overnight travel less than 10% of the time.
  • Provide mentoring and coaching to more junior roles to support their technical competencies
  • Collaborate with managers and team in the distribution of workload and resources