The Home Depot
Overview
Join to apply for the
Data Scientist
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. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
Position Purpose
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.
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 by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner to influence execution of recommendations; Prepare reports, updates and/or presentations related to progress on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
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 further knowledge on key developments within data science, technical skill sets, and additional data sources; Develop replicable solutions (e.g., codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain a library of reusable algorithms for future use, ensuring developed codes are documented
Direct Manager/Direct Reports
This position typically reports to 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; there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
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
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 Power Point
Experience 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)
Proficient utilizing statistical techniques to identify key insights that help solve business problems
Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
Demonstrated experience in predictive modeling, data mining and data analysis
Minimum Education
The knowledge, skills and abilities typically acquired through the completion of a bachelors degree program or equivalent degree in a field of study related to the job.
Preferred Education
No additional education
Minimum Years Of Work Experience
3
Preferred Years Of Work Experience
No additional years of experience
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
#J-18808-Ljbffr
Join to apply for the
Data Scientist
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. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
Position Purpose
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.
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 by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner to influence execution of recommendations; Prepare reports, updates and/or presentations related to progress on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
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 further knowledge on key developments within data science, technical skill sets, and additional data sources; Develop replicable solutions (e.g., codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain a library of reusable algorithms for future use, ensuring developed codes are documented
Direct Manager/Direct Reports
This position typically reports to 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; there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
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
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 Power Point
Experience 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)
Proficient utilizing statistical techniques to identify key insights that help solve business problems
Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
Demonstrated experience in predictive modeling, data mining and data analysis
Minimum Education
The knowledge, skills and abilities typically acquired through the completion of a bachelors degree program or equivalent degree in a field of study related to the job.
Preferred Education
No additional education
Minimum Years Of Work Experience
3
Preferred Years Of Work Experience
No additional years of experience
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
#J-18808-Ljbffr