Data Scientist - Decision Analytics

Position Purpose

The Data Scientist drives business profitability and seamless acquisition of The Home Depot’s recent integrations by acting as a critical bridge between data engineering, analytics, and overarching business strategy. Operating in a fast-paced, startup-like environment, this role owns end-to-end analytical projects that require pivoting seamlessly between rapid, ad-hoc requests and long-term strategic execution. The position demands exceptional technical capabilities—particularly in advanced SQL, robust data wrangling, Tableau, and applied GenAI—to untangle and harmonize massive datasets across disparate company systems.

Prioritizing business acumen over classical machine learning, the Data Scientist applies advanced analytics and matching algorithms to extract actionable insights, ultimately translating complex technical realities into clear, executive-ready recommendations for non-technical stakeholders, IT engineers, and other business partners.

Req
190553

The Data Scientist drives business profitability and seamless acquisition of The Home Depot’s recent integrations by acting as a critical bridge between data engineering, analytics, and overarching business strategy. Operating in a fast-paced, startup-like environment, this role owns end-to-end analytical projects that require pivoting seamlessly between rapid, ad-hoc requests and long-term strategic execution. The position demands exceptional technical capabilities—particularly in advanced SQL, robust data wrangling, Tableau, and applied GenAI—to untangle and harmonize massive datasets across disparate company systems.

Prioritizing business acumen over classical machine learning, the Data Scientist applies advanced analytics and matching algorithms to extract actionable insights, ultimately translating complex technical realities into clear, executive-ready recommendations for non-technical stakeholders, IT engineers, and other business partners.

• 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

• This position typically reports to Manager or above
• This position has 0 Direct…