Associate Data Scientist - Decision Analytics
About The Position
The Associate 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 participate in the United States.
- Advanced SQL
- Robust data wrangling
- Applied GenAI
- Business acumen
- Advanced analytics
- Matching algorithms
- Translate complex technical realities into clear, executive-ready recommendations for non-technical stakeholders, IT engineers, and other business partners.
Nice To Haves
- Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
- 3+ years of experience in business intelligence and analytics
- Working knowledge of Microsoft Excel and Power Point
- Experience 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)
- Proficient utilizing statistical techniques to identify key insights that help solve business problems
- Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
- Demonstrated experience in predictive modeling, data mining and data analysis
Responsibilities
- Design and develop algorithms and models to use against large datasets to create business insights
- Supports data science projects by conducting effective analysis to solve business problems
- Executes tasks with high levels of efficiency and quality
- Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies
- Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge
- Effectively communicate insights and recommendations to both technical and non-technical audience
- Support preparation of reports, updates and/or presentations related to progress made on a project or solution
- Highlights potential impacts of recommendations to drive alignment and appropriate implementation
- Keep up to date on industry trends, best practices and emerging methodologies
- Continually develop skills and expertise in data analytics concepts and methodologies
- Identify opportunities to apply learnings
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
