The Home Depot
Overview
Data Scientist - Orange Apron Media role at The Home Depot. The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Depending on the data science team, this role may require knowledge in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. Additionally, you will apply advanced analytics methods and algorithms to identify trends and provide business solutions, and present insights and recommendations to non-technical audiences." Key Responsibilities
55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; participate in large data analytics project teams as a technical lead; may lead small projects and work independently on solution development; execute tasks with high efficiency and quality; select, utilize and interpret advanced analytical methodologies 20% Communicating Results - Effectively communicate insights and recommendations to technical and non-technical leaders and business customers/partners; present recommendations to influence execution; prepare reports, updates and/or presentations; clearly communicate impacts of recommendations 10% Business Collaboration - Incorporate business knowledge into solution approach; develop trust and collaboration with internal customers and cross-functional teams; work with project teams and business partners to determine project goals 15% Technical Exploration & Development - Seek ongoing knowledge of key developments within data science; contribute to continuous improvement by developing replicable solutions (e.g., codified data products, documentation, process flowcharts); build and maintain a library of reusable algorithms with well-documented code Minimum Qualifications
Must be eighteen years of age or older Must be legally permitted to work in the United States Preferred Qualifications
Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience 4+ years of experience in business intelligence and analytics Working knowledge of Microsoft Excel and PowerPoint Experience in a modern scripting language (preferably Python) Proficient in querying data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Proficient in using statistical techniques to identify key insights for business problems Knowledgeable in Prescriptive Modeling such as optimization, computer vision, recommendation, search or NLP Experience in predictive modeling, data mining and data analysis Education & Experience
Minimum Education: Bachelor's degree or equivalent in a related field Minimum Years Of Work Experience: 3 Preferred Years Of Work Experience: No additional years Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies
Action Oriented Business Insight Collaborates Communicates Effectively Customer Focus Drives Results Nimble Learning Optimizes Work Processes Plans and Aligns Self-Development Working Conditions, Travel & Physical Requirements
Travel: Typically requires overnight travel less than 10% of the time Physical: Mostly sedentary with occasional light movement Working Conditions: Located in a comfortable indoor area; any unpleasant conditions are infrequent
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Data Scientist - Orange Apron Media role at The Home Depot. The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Depending on the data science team, this role may require knowledge in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. Additionally, you will apply advanced analytics methods and algorithms to identify trends and provide business solutions, and present insights and recommendations to non-technical audiences." Key Responsibilities
55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; participate in large data analytics project teams as a technical lead; may lead small projects and work independently on solution development; execute tasks with high efficiency and quality; select, utilize and interpret advanced analytical methodologies 20% Communicating Results - Effectively communicate insights and recommendations to technical and non-technical leaders and business customers/partners; present recommendations to influence execution; prepare reports, updates and/or presentations; clearly communicate impacts of recommendations 10% Business Collaboration - Incorporate business knowledge into solution approach; develop trust and collaboration with internal customers and cross-functional teams; work with project teams and business partners to determine project goals 15% Technical Exploration & Development - Seek ongoing knowledge of key developments within data science; contribute to continuous improvement by developing replicable solutions (e.g., codified data products, documentation, process flowcharts); build and maintain a library of reusable algorithms with well-documented code Minimum Qualifications
Must be eighteen years of age or older Must be legally permitted to work in the United States Preferred Qualifications
Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience 4+ years of experience in business intelligence and analytics Working knowledge of Microsoft Excel and PowerPoint Experience in a modern scripting language (preferably Python) Proficient in querying data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Proficient in using statistical techniques to identify key insights for business problems Knowledgeable in Prescriptive Modeling such as optimization, computer vision, recommendation, search or NLP Experience in predictive modeling, data mining and data analysis Education & Experience
Minimum Education: Bachelor's degree or equivalent in a related field Minimum Years Of Work Experience: 3 Preferred Years Of Work Experience: No additional years Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies
Action Oriented Business Insight Collaborates Communicates Effectively Customer Focus Drives Results Nimble Learning Optimizes Work Processes Plans and Aligns Self-Development Working Conditions, Travel & Physical Requirements
Travel: Typically requires overnight travel less than 10% of the time Physical: Mostly sedentary with occasional light movement Working Conditions: Located in a comfortable indoor area; any unpleasant conditions are infrequent
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