The Home Depot
Associate Data Scientist, Online Insights
The Home Depot, Atlanta, Georgia, United States, 30383
Associate Data Scientist, Online Insights
The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies, and improved customer experience. This role works closely with Data Scientists and/or Sr. Data Scientists to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Depending on the team, the role may require developing skills in one or more specializations such as optimization, computer vision, recommendation, search, or NLP.
Key Responsibilities
70% Solution Development – Design and develop algorithms and models to analyze large datasets and generate business insights; support data science projects; consult on selection and interpretation of advanced methodologies; incorporate business-specific knowledge to improve solutions.
20% Communicating Results – Effectively communicate insights and recommendations to both technical and non‑technical audiences; prepare reports, updates, and presentations; highlight potential impacts of recommendations.
10% Technical Learning – Stay current on industry trends, best practices, and emerging methodologies; continually develop skills in data analytics concepts; identify opportunities to apply new learnings.
Direct Manager/Direct Reports
Reports to manager or above.
No direct reports.
Travel Requirements
No travel required.
Physical Requirements
Mostly seated; occasional light lifting or movement.
Working Conditions
Comfortable indoor setting; occasional unpleasant conditions unlikely to be objectionable.
Minimum Qualifications
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
Preferred Qualifications
Master’s degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent experience.
3+ years of experience in business intelligence and analytics.
Working knowledge of Microsoft Excel and PowerPoint.
Experience in a modern scripting language (preferably Python).
Experience running queries against data (preferably with Google BigQuery or SQL).
Experience in predictive modeling, data mining, and data analysis.
Experience with data visualization software (preferably Tableau).
Experience utilizing statistical techniques to identify key insights that solve business problems.
Basic knowledge or exposure to prescriptive modeling like optimization, computer vision, recommendation, search, or NLP.
Basic knowledge or exposure to predictive modeling, data mining, and data analysis.
Minimum Education
Bachelor’s degree (or equivalent) in a relevant field.
Preferred Education
No additional education required.
Minimum Years Of Work Experience
0 years.
Preferred Years Of Work Experience
No additional years of experience required.
Minimum Leadership Experience
None.
Preferred Leadership Experience
None.
Certifications
None.
Competencies
Action Oriented: Taking on new opportunities and tough challenges with urgency and enthusiasm.
Business Insight: Applying knowledge of the market to advance organizational goals.
Collaborates: Building partnerships and working collaboratively to meet shared objectives.
Communicates Effectively: Delivering clear communications tailored to diverse audiences.
Customer Focus: Building strong customer relationships and delivering customer‑centric solutions.
Drives Results: Consistently achieving results under challenging circumstances.
Nimble Learning: Actively learning through experimentation and leveraging successes and failures.
Optimizes Work Processes: Implementing efficient processes with a focus on continuous improvement.
Plans and Aligns: Prioritizing work to meet commitments aligned with organizational goals.
Self-Development: Actively seeking new growth and challenges via formal and informal channels.
Seniority level Not Applicable
Employment type Full-time
Job function Information Technology
Industries Consumer Services
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Key Responsibilities
70% Solution Development – Design and develop algorithms and models to analyze large datasets and generate business insights; support data science projects; consult on selection and interpretation of advanced methodologies; incorporate business-specific knowledge to improve solutions.
20% Communicating Results – Effectively communicate insights and recommendations to both technical and non‑technical audiences; prepare reports, updates, and presentations; highlight potential impacts of recommendations.
10% Technical Learning – Stay current on industry trends, best practices, and emerging methodologies; continually develop skills in data analytics concepts; identify opportunities to apply new learnings.
Direct Manager/Direct Reports
Reports to manager or above.
No direct reports.
Travel Requirements
No travel required.
Physical Requirements
Mostly seated; occasional light lifting or movement.
Working Conditions
Comfortable indoor setting; occasional unpleasant conditions unlikely to be objectionable.
Minimum Qualifications
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
Preferred Qualifications
Master’s degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent experience.
3+ years of experience in business intelligence and analytics.
Working knowledge of Microsoft Excel and PowerPoint.
Experience in a modern scripting language (preferably Python).
Experience running queries against data (preferably with Google BigQuery or SQL).
Experience in predictive modeling, data mining, and data analysis.
Experience with data visualization software (preferably Tableau).
Experience utilizing statistical techniques to identify key insights that solve business problems.
Basic knowledge or exposure to prescriptive modeling like optimization, computer vision, recommendation, search, or NLP.
Basic knowledge or exposure to predictive modeling, data mining, and data analysis.
Minimum Education
Bachelor’s degree (or equivalent) in a relevant field.
Preferred Education
No additional education required.
Minimum Years Of Work Experience
0 years.
Preferred Years Of Work Experience
No additional years of experience required.
Minimum Leadership Experience
None.
Preferred Leadership Experience
None.
Certifications
None.
Competencies
Action Oriented: Taking on new opportunities and tough challenges with urgency and enthusiasm.
Business Insight: Applying knowledge of the market to advance organizational goals.
Collaborates: Building partnerships and working collaboratively to meet shared objectives.
Communicates Effectively: Delivering clear communications tailored to diverse audiences.
Customer Focus: Building strong customer relationships and delivering customer‑centric solutions.
Drives Results: Consistently achieving results under challenging circumstances.
Nimble Learning: Actively learning through experimentation and leveraging successes and failures.
Optimizes Work Processes: Implementing efficient processes with a focus on continuous improvement.
Plans and Aligns: Prioritizing work to meet commitments aligned with organizational goals.
Self-Development: Actively seeking new growth and challenges via formal and informal channels.
Seniority level Not Applicable
Employment type Full-time
Job function Information Technology
Industries Consumer Services
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