The Home Depot
Overview
Senior Data Scientist
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. Responsibilities
35% Solution Development — Proficiently design and develop algorithms and models to use against large datasets to create business insights; execute tasks with high levels of efficiency and quality; select, utilize and interpret advanced analytical methodologies; effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; prepare reports, updates and/or presentations related to progress on a project; clearly communicate impacts of recommendations to drive alignment and appropriate implementation 30% Project Management & Team Support — Work with project teams and business partners to determine project goals; provide direction on prioritization of work and ensure quality of work; provide mentoring and coaching to more junior roles; collaborate with managers and team in the distribution of workload and resources; support recruiting and hiring efforts for the team 20% Business Collaboration — Leverage extensive business knowledge into solution approach; develop trust and collaboration with internal customers and cross-functional teams; educate non-technical business partners on advanced analytics; understand IT needs for the team; actively seek out new business opportunities to leverage data science as a competitive advantage 15% Technical Exploration & Development — Seek further knowledge on key developments within data science; contribute to the continuous improvement of data science and analytics by developing replicable solutions (e.g., codified data products, project documentation, process flowcharts); define best practices and develop a clear vision for data analysis and model productionization; 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 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 with predictive modeling, data mining and data analysis Minimum Education
Bachelor's degree or equivalent in a field related to the job Preferred Education
No additional education Minimum Years Of Work Experience
5 Preferred Years Of Work Experience
No additional years of experience 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
#J-18808-Ljbffr
Senior Data Scientist
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. Responsibilities
35% Solution Development — Proficiently design and develop algorithms and models to use against large datasets to create business insights; execute tasks with high levels of efficiency and quality; select, utilize and interpret advanced analytical methodologies; effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; prepare reports, updates and/or presentations related to progress on a project; clearly communicate impacts of recommendations to drive alignment and appropriate implementation 30% Project Management & Team Support — Work with project teams and business partners to determine project goals; provide direction on prioritization of work and ensure quality of work; provide mentoring and coaching to more junior roles; collaborate with managers and team in the distribution of workload and resources; support recruiting and hiring efforts for the team 20% Business Collaboration — Leverage extensive business knowledge into solution approach; develop trust and collaboration with internal customers and cross-functional teams; educate non-technical business partners on advanced analytics; understand IT needs for the team; actively seek out new business opportunities to leverage data science as a competitive advantage 15% Technical Exploration & Development — Seek further knowledge on key developments within data science; contribute to the continuous improvement of data science and analytics by developing replicable solutions (e.g., codified data products, project documentation, process flowcharts); define best practices and develop a clear vision for data analysis and model productionization; 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 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 with predictive modeling, data mining and data analysis Minimum Education
Bachelor's degree or equivalent in a field related to the job Preferred Education
No additional education Minimum Years Of Work Experience
5 Preferred Years Of Work Experience
No additional years of experience 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
#J-18808-Ljbffr