The Home Depot
Lead Data Scientist, Online Recommendations
The Home Depot, Atlanta, Georgia, United States, 30383
Lead Data Scientist, Online Recommendations
1 day ago Be among the first 25 applicants
Position Purpose
The Lead Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making by applying expertise of both business and advanced analytics modeling techniques. Lead Data Scientists focus on seeking out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role has expertise in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As a Lead Data Scientist, you will be responsible for large data science projects, identifying opportunities to leverage best technology and approach, and mentoring data scientists on the project team. This role is expected to own the library of reusable algorithms for future use, ensuring developed codes are documented. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, this role leads data science communities across several business units.
Key Responsibilities
30% Solution Development – Design and develop algorithms and models to use against large datasets to create business insights; select, utilize and interpret advanced analytics methodologies; communicate insights and recommendations to both technical and non‑technical leaders and business customers/partners; clearly communicate impacts of recommendations to drive alignment and appropriate implementation.
25% Project Management & Team Support – Lead and manage large and complex projects and teams; provide direction on prioritization of work and ensure quality; mentor and coach junior roles; collaborate with managers and team on workload distribution; support recruiting and hiring; serve as a technical SME; lead data science communities across several business units.
20% Business Collaboration – Leverage extensive business knowledge into solution approach; build trust and collaboration with internal customers and cross‑functional teams; provide technical education on advanced analytics; partner with IT to understand potential for new tools and maintain technical agility; seek new business opportunities to leverage data science.
25% Technical Exploration & Development – Seek further knowledge on key developments within data science; attend conferences and publish papers; contribute to continuous improvement by developing replicable solutions; define best practices and clear vision for data analysis and model productionalization; own library of reusable algorithms and document code; master prescriptive modeling techniques.
Minimum Qualifications
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
Demonstrated expertise in predictive modeling, data mining and data analysis.
Demonstrated expertise utilizing statistical techniques to identify key insights that help solve business problems.
Preferred Qualifications
PhD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience.
10+ years of experience in business intelligence and analytics.
Expertise in a modern scripting language (preferably Python).
Expertise running queries against data (preferably with Google BigQuery or SQL).
Advanced knowledge of Microsoft Office Suite.
Expertise with data visualization software (preferably Tableau).
Expertise in prescriptive modeling (optimization, computer vision, recommendation, search or NLP).
Minimum Years Of Work Experience
10
Minimum Education
Bachelor’s degree in a field related to the job.
#J-18808-Ljbffr
Position Purpose
The Lead Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making by applying expertise of both business and advanced analytics modeling techniques. Lead Data Scientists focus on seeking out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role has expertise in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As a Lead Data Scientist, you will be responsible for large data science projects, identifying opportunities to leverage best technology and approach, and mentoring data scientists on the project team. This role is expected to own the library of reusable algorithms for future use, ensuring developed codes are documented. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, this role leads data science communities across several business units.
Key Responsibilities
30% Solution Development – Design and develop algorithms and models to use against large datasets to create business insights; select, utilize and interpret advanced analytics methodologies; communicate insights and recommendations to both technical and non‑technical leaders and business customers/partners; clearly communicate impacts of recommendations to drive alignment and appropriate implementation.
25% Project Management & Team Support – Lead and manage large and complex projects and teams; provide direction on prioritization of work and ensure quality; mentor and coach junior roles; collaborate with managers and team on workload distribution; support recruiting and hiring; serve as a technical SME; lead data science communities across several business units.
20% Business Collaboration – Leverage extensive business knowledge into solution approach; build trust and collaboration with internal customers and cross‑functional teams; provide technical education on advanced analytics; partner with IT to understand potential for new tools and maintain technical agility; seek new business opportunities to leverage data science.
25% Technical Exploration & Development – Seek further knowledge on key developments within data science; attend conferences and publish papers; contribute to continuous improvement by developing replicable solutions; define best practices and clear vision for data analysis and model productionalization; own library of reusable algorithms and document code; master prescriptive modeling techniques.
Minimum Qualifications
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
Demonstrated expertise in predictive modeling, data mining and data analysis.
Demonstrated expertise utilizing statistical techniques to identify key insights that help solve business problems.
Preferred Qualifications
PhD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience.
10+ years of experience in business intelligence and analytics.
Expertise in a modern scripting language (preferably Python).
Expertise running queries against data (preferably with Google BigQuery or SQL).
Advanced knowledge of Microsoft Office Suite.
Expertise with data visualization software (preferably Tableau).
Expertise in prescriptive modeling (optimization, computer vision, recommendation, search or NLP).
Minimum Years Of Work Experience
10
Minimum Education
Bachelor’s degree in a field related to the job.
#J-18808-Ljbffr