Data Scientist - Decision Analytics
About The Position
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.
Requirements
- Must be eighteen years of age or older.
- Must be legally permitted to work in the United States.
- Completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
- 3 years of work experience.
- Working knowledge of Microsoft Excel and Power Point
- Proficient running queries against data (preferably with Google BigQuery or SQL)
- Proficient with data visualization software (preferably Tableau)
- Proficient utilizing statistical techniques to identify key insights that help solve business problems
- Demonstrated experience in predictive modeling, data mining and data analysis
Nice To Haves
- Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
- 4+ years of experience in business intelligence and analytics
- Experience in a modern scripting language (preferably Python)
- Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
Responsibilities
- 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
- 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
- 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
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
