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The Home Depot

Sr. Data Scientist - Delivery

The Home Depot, Atlanta, Georgia, United States, 30383

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Overview Sr. Data Scientist - Delivery role at

The Home Depot . The Sr. 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. Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role would need to be proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.

Key Responsibilities

35% Solution Development - Design and develop algorithms and models to analyze large datasets to create business insights; execute tasks with high efficiency and quality; select, utilize and interpret advanced analytical methodologies; effectively communicate insights and recommendations to technical and non-technical leaders; prepare reports or presentations related to progress; clearly communicate impacts of recommendations to drive alignment and implementation

30% Project Management & Team Support - Work with project teams and business partners to determine goals; guide prioritization of work and ensure quality; mentor junior roles; collaborate on workload and resource distribution; support recruiting and hiring efforts

20% Business Collaboration - Leverage business knowledge to shape solution approaches; develop trust with internal customers and cross-functional teams; educate partners on advanced analytics; understand IT needs for team success; actively seek new business opportunities to leverage data science as a competitive advantage

15% Technical Exploration & Development - Pursue key developments in data science, develop replicable solutions (e.g., codified data products, project docs, process flowcharts); define best practices and a clear vision for data analysis and model productionalization; contribute to a library of reusable algorithms with well-documented code

Direct Manager / Direct Reports

This position reports to a manager or above

This position has 0 Direct Reports

Travel Requirements

Typically requires overnight travel less than 10% of the time.

Physical Requirements

Most of the time is spent sitting in a comfortable position; occasional movement or lifting of light articles may be required.

Working Conditions

Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications

Must be eighteen years of age or older.

Must be legally permitted to work in the United States.

Preferred Qualifications

PhD in a quantitative field (Computer Science, Math, Statistics, etc.)

6+ years of experience in business intelligence and analytics

Working knowledge of Microsoft Excel and PowerPoint

Proficient 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)

Mastery of statistical techniques to identify key insights that solve business problems

Proficient in Prescriptive Modeling such as optimization, computer vision, recommendation, search or NLP

Experience in predictive modeling, data mining and data analysis

Minimum Education

The knowledge, skills and abilities typically acquired through the completion of a bachelor’s degree or equivalent in a related field.

Preferred Education

No additional education

Years of Work Experience

5 years

Leadership Experience

None

Certifications

None

Competencies

Attracts Top Talent

Business Insight

Collaborates

Communicates Effectively

Cultivates Innovation

Customer Focus

Develops Talent

Directs Work

Drives Results

Nimble Learning

Optimizes Work Processes

Self-Development

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