The Home Depot
Senior Data Scientist, Marketing
at
The Home Depot
Position Purpose The Senior Data Scientist leads data‑science initiatives that drive business profitability, increase efficiencies, and improve customer experience. This role assists in developing Home Depot’s advanced analytics infrastructure, leveraging data science to gain a competitive advantage. The position requires proficiency in at least one data‑science specialization (e.g., optimization, computer vision, recommendation, search, or NLP) and the ability to collaborate across product, project, and business teams.
Key Responsibilities
Solution Development (35%): Design and develop algorithms and models for large datasets, ensuring high quality and efficiency; communicate insights and recommendations to technical and non‑technical leaders; prepare reports and presentations on project progress.
Project Management & Team Support (30%): Set project goals, prioritize work, mentor junior data scientists, collaborate with managers on workload distribution, and support recruiting and hiring.
Business Collaboration (20%): Leverage business knowledge to shape solutions, build relationships with internal customers, provide advanced analytics education, and identify new opportunities for data‑science impact.
Technical Exploration & Development (15%): Stay current on data‑science developments, produce reproducible solutions (e.g., code libraries, documentation), define best practices for model production, and contribute reusable algorithms.
Minimum Qualifications
18+ years of age.
Legally permitted to work in the United States.
PhD in a quantitative field (Computer Science, Mathematics, Statistics, etc.).
6+ years of experience in business intelligence and analytics.
Proficient in modern scripting language (preferably Python).
Strong Excel and PowerPoint skills.
Skill in running queries (preferably BigQuery or SQL).
Experience with data‑visualization tools (preferably Tableau).
Proficiency with prescriptive modeling (optimization, computer vision, recommendation, search, or NLP).
Demonstrated proficiency in predictive modeling, data mining, and data analysis.
Preferred Qualifications
Additional years of experience in advanced analytics.
Exceptional communication and collaboration skills.
Experience building and scaling data‑science teams.
Minimum Education
bachelor’s degree in a related field.
Preferred Education
None.
Minimum Years of Work Experience
5 years.
Preferred Years of Work Experience
None.
Minimum Leadership Experience
None.
Preferred Leadership Experience
None.
Certifications
None.
Competencies
Attracts Top Talent: Selects the best talent for business needs.
Business Insight: Applies business knowledge to advance organizational goals.
Collaborates: Builds partnerships and works collaboratively.
Communicates Effectively: Delivers clear communications for varied audiences.
Cultivates Innovation: Creates better ways for organizational success.
Customer Focus: Builds strong customer relationships and delivers customer‑centric solutions.
Develops Talent: Fosters people’s careers aligned with organizational goals.
Directs Work: Provides direction and removes obstacles to achieve work.
Drives Results: Consistently achieves results under challenging circumstances.
Nimble Learning: Learns through experimentation and applies lessons.
Optimizes Work Processes: Imposes efficient processes for continuous improvement.
Self‑Development: Seeks growth through formal and informal development.
Additional Information Typically requires overnight travel less than 10% of the time. Most of the time is spent sitting in a comfortable position with frequent opportunities to move about. The role is located in a comfortable indoor area.
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at
The Home Depot
Position Purpose The Senior Data Scientist leads data‑science initiatives that drive business profitability, increase efficiencies, and improve customer experience. This role assists in developing Home Depot’s advanced analytics infrastructure, leveraging data science to gain a competitive advantage. The position requires proficiency in at least one data‑science specialization (e.g., optimization, computer vision, recommendation, search, or NLP) and the ability to collaborate across product, project, and business teams.
Key Responsibilities
Solution Development (35%): Design and develop algorithms and models for large datasets, ensuring high quality and efficiency; communicate insights and recommendations to technical and non‑technical leaders; prepare reports and presentations on project progress.
Project Management & Team Support (30%): Set project goals, prioritize work, mentor junior data scientists, collaborate with managers on workload distribution, and support recruiting and hiring.
Business Collaboration (20%): Leverage business knowledge to shape solutions, build relationships with internal customers, provide advanced analytics education, and identify new opportunities for data‑science impact.
Technical Exploration & Development (15%): Stay current on data‑science developments, produce reproducible solutions (e.g., code libraries, documentation), define best practices for model production, and contribute reusable algorithms.
Minimum Qualifications
18+ years of age.
Legally permitted to work in the United States.
PhD in a quantitative field (Computer Science, Mathematics, Statistics, etc.).
6+ years of experience in business intelligence and analytics.
Proficient in modern scripting language (preferably Python).
Strong Excel and PowerPoint skills.
Skill in running queries (preferably BigQuery or SQL).
Experience with data‑visualization tools (preferably Tableau).
Proficiency with prescriptive modeling (optimization, computer vision, recommendation, search, or NLP).
Demonstrated proficiency in predictive modeling, data mining, and data analysis.
Preferred Qualifications
Additional years of experience in advanced analytics.
Exceptional communication and collaboration skills.
Experience building and scaling data‑science teams.
Minimum Education
bachelor’s degree in a related field.
Preferred Education
None.
Minimum Years of Work Experience
5 years.
Preferred Years of Work Experience
None.
Minimum Leadership Experience
None.
Preferred Leadership Experience
None.
Certifications
None.
Competencies
Attracts Top Talent: Selects the best talent for business needs.
Business Insight: Applies business knowledge to advance organizational goals.
Collaborates: Builds partnerships and works collaboratively.
Communicates Effectively: Delivers clear communications for varied audiences.
Cultivates Innovation: Creates better ways for organizational success.
Customer Focus: Builds strong customer relationships and delivers customer‑centric solutions.
Develops Talent: Fosters people’s careers aligned with organizational goals.
Directs Work: Provides direction and removes obstacles to achieve work.
Drives Results: Consistently achieves results under challenging circumstances.
Nimble Learning: Learns through experimentation and applies lessons.
Optimizes Work Processes: Imposes efficient processes for continuous improvement.
Self‑Development: Seeks growth through formal and informal development.
Additional Information Typically requires overnight travel less than 10% of the time. Most of the time is spent sitting in a comfortable position with frequent opportunities to move about. The role is located in a comfortable indoor area.
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