Jobs Board

Position Purpose:

The primary purpose of this role is to implement improved business processes and supplier strategies that advance Home Depot’s supplier relationships.

The Analyst, Supplier Operations Process, must start with the Supplier relationship and work backwards to ensure that Home Depot is supporting the growth and development of its Suppliers. This role executes data-informed strategies to optimize supplier support, product onboarding, and online product data requirements.

The Analyst’s job is to ensure that the Online Merchandising team provides strong resources and support for our Suppliers to manage their businesses.

The Analyst, SO Process, will ensure suppliers are always supported and are able to resolve any challenges they may face.​

Key Responsibilities:

• 30% Work with Merchandise Planning Managers, Online Merchants, and cross functional partners to analyze business drivers and recommend/execute strategies
• 40% Execute key daily/weekly/monthly business performance reporting
• 30% Contribute to projects and new initiatives which further strategic business objectives

Direct Manager/Direct Reports:

• This position reports to Manager, Supplier Tickets
• This position has no 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 and 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.
• No travel required

Minimum Qualifications:

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.

Preferred Qualifications:

• Bachelor’s degree in Industrial Engineering, Management, Economics, or Retail Sciences
• Work experience in retail, merchandising, or a consulting/ project management role in a corporate environment
• Demonstrated ability with business modeling capabilities using tools such as SQL, Excel, Access, and Tableau and advanced proficiency with other Microsoft Office programs
• Strong analytical skills; innate intellectual curiosity
• Ability to learn quickly and independently
• Ability to work simultaneously across several work streams balancing quality of work and consistent delivery
• Strong communication and presentation skills

Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor’s degree program or equivalent degree in a field of study related to the job.

Preferred Education: No additional education

Minimum Years of Work Experience: 0

Preferred Years of Work Experience: No additional years of experience

Minimum Leadership Experience: None

Preferred Leadership Experience: None

Certifications: None

Competencies:

• Action Oriented
• Collaborates
• Drives Engagement
• Communicates Effectively
• Customer Focus
• Drives Results
• Manages Conflict

Link to Full Job Listing: https://careers.homedepot.com/job/21992459/analyst-supplier-ops-process-onsite

This is a Paid Position: Yes

Includes Health and/or Retirement Benefits: Yes

Contact Name:
Bria Benton
bria_benton@homedepot.com

Morehouse College, a historically Black liberal arts college dedicated to developing men with disciplined minds who will lead lives of leadership and service, invites applications for a tenure-track position at the level of Assistant Professor in the Department of Computer Science starting August 2025. Candidates who apply are asked to identify their strengths and experiences in assisting Black men and men of color from diverse cultural and socio-economic backgrounds to accomplish curricular goals. The successful candidate will be expected to support the College’s general education curriculum.

Required Knowledge, Skills, and Abilities

• Ph.D. in Computer Science or a closely related field by the time of appointment (Aug 2025) from a full-time, accredited institution. ABD (All But Dissertation) Candidates will also be considered if the completion date is estimated by May 2026.
• Demonstrated potential for excellence in research, with a focus on one or more of the following areas: Artificial Intelligence, High-Performance Computing, Data Science, and Visualization.
• Commitment to teaching and mentoring students from diverse backgrounds.
• Strong communication and interpersonal skills.

Includes Health and/or Retirement Benefits: Yes

Contact Name: Dr. Kinnis Gosha
Contact Email:  kinnis.gosha@morehouse.edu

Other Notes
Alternative Contact: Dr. Alfred R. Watkins, alfred.watkins@morehouse.edu

Position Purpose:

The Lead Data Scientist for Online Experimentation is responsible for leading the initiatives that drive more, faster and better experimentation in a competitive eCommerce environment. This role assists in the design and development of the Home Depot scalable experimentation infrastructure that informs business decision making by applying expertise of both business and Advanced Analytics. Lead Data Scientists for Experimentation focus on leveraging statistical methodologies to allow for large-scale, complex experimentation design and measurement.

As a Lead Data Scientist, you will be responsible for the design and implementation of our experimentation platform to ensure governance over tests from a variety of sources, to provide valid and speedy measurement to insights that deliver clean and easy test readout. This role will work closely with the Culture of Experimentation team to deploy best practices in online experimentation, standardize measurement to ensure statistical validity and explore methodologies that will improve testing efficiency. 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 – Utilize expertise when designing and developing algorithms and models to use against large datasets to create business insights; Make appropriate selection, utilization and interpretation of advanced analytics methodologies; Effectively 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 of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team; Serve as a technical subject matter expert (SME) for one or more data science methods, both predictive and prescriptive; Lead data science communities across several business units
• 20% Business Collaboration – Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide technical education on advanced analytics to data science community; Partner with IT to understand potential for new tools and ways to maintain technical agility for data science; Actively seek out new business opportunities to leverage data science as a competitive advantage
• 25% Technical Exploration & Development – Seek further knowledge on key developments within data science by attending conferences and publishing papers; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Ownership of library of reusable algorithms for future use, ensure developed code/models are documented; Develop mastery in one or more prescriptive modeling techniques, like optimization, computer vision, recommendation, search or NLP

Direct Manager/Direct Reports:

• This position typically reports to manager or above
• This position has 0 Direct Reports and leads/manages projects

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 and 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.
• 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, preferably in Online Experimentation
• 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 like optimization, computer vision, recommendation, search or NLP

Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor’s degree program or equivalent degree in a field of study related to the job.

Preferred Education: No additional education

Minimum Years of Work Experience: 10

Preferred Years of Work Experience: No additional years of experience

Minimum Leadership Experience: None

Preferred Leadership Experience: None

Certifications: None

Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs

Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization

Business Insight: Applying knowledge of the business and the marketplace to advance the organization’s goals

Collaborates: Building partnerships and working collaboratively with others to meet shared objectives

Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences

Cultivates Innovation: Creating new and better ways for the organization to be successful

Develops Talent: Developing people to meet both their career goals and the organization’s goals

Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity

Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement

Persuades: Using compelling arguments to gain the support and commitment of others

Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies

Tech Savvy: Anticipating and adopting innovations in business building digital and technology applications

Link to Full Job Listing: https://careers.homedepot.com/job/21989723/lead-data-scientist-experimentation

Job Category Option: Outside of Academia

This is a Paid Position: Yes

Includes Health and/or Retirement Benefits: Yes

Contact Name:
Bria Benton
bria_benton@homedepot.com

Position Purpose:

Online Data Architect teams at The Home Depot coordinate with key stakeholders to determine data collection needs and write technical specs to support the translation of business requirements into databases, data warehouses, and data streams. They work closely with engineers to ensure the internal customer’s data needs are captured. They analyze, plan, and define data architecture framework, including security, reference data, metadata, and master data. Data Architects create and implement data management processes and procedures to ensure accuracy and accessibility.

The Online Lead Data Architect position manages complex processes related to the development of advanced analytics to support the company’s strategic objectives. The role works cross-functionally with business partners from Merchandising, Finance, Operations, Supply Chain, Online and IT to design and implement data analytics, tools, and new visibility/reporting capabilities. This role has responsibility for creating analytics, translating business questions to actionable insights, supporting ongoing analytical needs, designing new analytical platforms, and partnering with cross-functional teams to deliver high quality analytics solutions for the Home Depot. They are considered seasoned experts in one or more analytical domains and serve as a deep analytical resource for the Decision Analytics team.

Key Responsibilities:

• 20% – Business Collaboration – Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Partner with Other Orgs to understand potential for new tools and ways to maintain technical agility for advanced analytics.
• 25% – Project Management & Team Support – Lead and manage large and complex projects and teams; Provide direction on prioritization of work and ensure quality of work; Collaborate with managers and team in the distribution of workload and resources; Serve as a technical subject matter expert (SME) on both predictive and prescriptive analytics; Drive effective Agile project delivery protocols to assure we gather and surface reliable, actionable enterprise level analytics ; Ensure the team comprehends and applies the established processes and standards and mentor team on development.
• 30% – Solution Development – Effectively 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; Develops solutions to transform data into useful, actionable information​.
• 25% – Technical Exploration & Development – Guide and direct project teams in the requirements gathering, design, and development of complex applications/programs; Provide technical education on advanced analytics to analytics community; Drive analytics teams to get matured in predictive and prescriptive analytics.

Direct Manager/Direct Reports:

• This Position typically reports to Senior Manager or Above.
• This role has 0 direct reports.

Travel Requirements: Typically requires overnight travel less than 5% to 20% of the time.

Physical Requirements: Most of the time is spent sitting in a comfortable position and 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 18 years of age or older.
• Must be legally permitted to work in the United States.

Demonstrate 3 or more of the following:

• Knowledge on database architecture frameworks
• Procedures for increasing database accuracy and accessibility
• How to develop requirements for the business’s data needs related to databases, data warehouses, and data streams
• Knowledge of the business to support stakeholder data needs

Preferred Qualifications:

• Masters in a quantitative field (Analytics, Computer Science, Math, Physics, Statistics, etc.) or relevant work experience
• 5+ years of relevant work experience
• Demonstrated expertise on database architecture frameworks
• Demonstrated expertise on procedures for increasing database accuracy and accessibility
• Demonstrated expertise on how to develop requirements for the business’s data needs related to databases, data warehouses, and data streams
• Demonstrated knowledge of the business to support stakeholder data needs
• Proficient writing specs and requirements and configuring Adobe Analytics for site tagging
• Proficient in building schemas and datasets in AEP
• Proficient in configuring data views and variables in CJA
• Proficient utilizing GCP Big Query, Mini Tab, Workfront, and SQL
• Experience supporting the infrastructure for clickstream data (social media impression data on the marketing side), so teams can pull for data products and insights
• Experience problem solving to translate a request into the capturing needs, criteria involved, and variables involved
• Experience managing multiple projects and working in a fast-paced environment
• Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problems solving.
• Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way.

Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor’s degree program or equivalent degree in a field of study related to the job.

Preferred Education: The knowledge, skills and abilities typically acquired through the completion of a master’s degree program or equivalent degree in a field of study related to the job.

Minimum Years of Work Experience: 5

Preferred Years of Work Experience: 6

Minimum Leadership Experience: No previous leadership experience

Preferred Leadership Experience: No previous leadership experience

Certifications: None

Competencies:

• Action Oriented
• Collaborates
• Drives Engagement
• Communicates Effectively
• Customer Focus
• Develops Talent
• Drives Results
• Manages Conflict

Link to Full Job Listing: https://careers.homedepot.com/job/21908317/online-lead-data-architect

This is a Paid Position: Yes

Includes Health and/or Retirement Benefits: Yes

Contact Name
Bria Benton
bria_benton@homedepot.com

The Principal 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 leveraging mastery of both the business and Advanced Analytics Modeling techniques. Principal Data Scientists focus on seeking out business opportunities to leverage data science as a competitive advantage.
As a Principal Data Scientist, you will lead large data science projects, identifying opportunities to leverage the best technology and approach, and mentoring data scientists on the project team. This role is expected to contribute to Home Depot’s intellectual property by developing cutting-edge, innovative algorithms. 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 requires networking with experts, both academic and industry, to further the application of data science to business problems.

Key Responsibilities:

25% Solution Development – Utilize advanced expertise when designing and developing algorithms and models to use against large datasets to create business insights; Make appropriate selection, utilization and interpretation of advanced analytics methodologies; Effectively 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; Test alternative methodology and cutting-edge algorithms on business problems to deliver even better solutions and recommendations

20% 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 to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team; Serve as a technical subject matter expert (SME) for one or more data science methods, both predictive and prescriptive

20% Business Collaboration – Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage

35% Technical Exploration & Development – Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Support development of cutting-edge, innovative algorithms that would serve as Intellectual Property for Home Depot; Demonstrate and share technical expertise by attending conferences, speaking events and publishing papers; Be a thought leader within Home Depot in one or more Prescriptive Modeling techniques like optimization, computer vision, recommendation, search or NLP; Network with both academic and industry experts to further the application of data science to business problems

Direct Manager/Direct Reports: This position typically reports to Senior Manager or above. This position has 0 Direct Reports and leads/manages projects

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 and 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:
• 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 like optimization, computer vision, recommendation, search or NLP
• Demonstrated mastery in predictive modeling, data mining and data analysis
• Demonstrated mastery utilizing statistical techniques to identify key insights that help solve business problems

Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor’s degree program or equivalent degree in a field of study related to the job.

Preferred Education: No additional education

Minimum Years of Work Experience: 10

Preferred Years of Work Experience: No additional years of experience

Minimum Leadership Experience: None

Preferred Leadership Experience: None

Certifications: None

Competencies:

• Business Insight: Applying knowledge of the business and the marketplace to advance the organization’s goals
• Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
• Cultivates Innovation: Creating new and better ways for the organization to be successful
• Develops Talent: Developing people to meet both their career goals and the organization’s goals
• Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
• Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity
• Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
• Persuades: Using compelling arguments to gain the support and commitment of others
• Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels
• Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies
• Tech Savvy: Anticipating and adopting innovations in business building digital and technology applications

Link to Full Job Listing: https://careers.homedepot.com/job/20877288/principal-data-scientist-recommendations-online-data-science

Job Category Option: Outside of Academia

This is a Paid Position: Yes

Includes Health and/or Retirement Benefits: Yes

Position Purpose:

• The primary purpose of this role is to drive operational excellence through the building of new business processes that enables best in class vendor support at scale.
• The Sr. Analyst, Supplier Operations Process, must start with the Supplier relationship and work backwards to ensure that Home Depot is supporting the growth and development of its Suppliers. This role delivers data-informed strategies to optimize supplier support, product onboarding, and online product data requirements.
• The Sr. Analyst’s job is to ensure that the Online Merchandising team provides strong resources and support for our Suppliers to manage their businesses.
• The Sr. Analyst, SO Process, will ensure suppliers are always supported and are able to resolve any challenges they may face.​

Key Responsibilities:

• 30% Partner with Merchandise Planning Managers and Online Merchants to analyze business drivers, provide insightful assessments and execute strategies to achieve business objectives.
• 40% Track and measure business performance via execution of key daily, weekly and monthly reporting; seek out opportunities to continuously improve reporting efforts.
• 30% Contribute to projects and new initiatives with further strategic business objectives.

Direct Manager/Direct Reports:

• Position reports to Manager, Supplier Tickets
• No 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 and 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.
• No travel required

Minimum Qualifications:

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.

Preferred Qualifications:

• MBA or equivalent work experience in retail, merchandising, or a consulting/project management role in a corporate environment
• Demonstrated ability with business modeling capabilities using tools such as SQL, Excel, Access, and Tableau and advanced proficiency with other Microsoft Office programs
• Ability to understand business drivers and influence decision making with cross-functional partners
• Proven ability to analyze, evaluate, and interpret complex data; innate intellectual curiosity
• Track record of taking ownership and driving results; ability to learn quickly and independently
• Ability to work simultaneously across several work streams balancing quality of work and consistent delivery
• Strong communication and presentation skills
• High comfort level working in fast paced environment

Minimum Education:

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

Preferred Education:

• No additional education
• Minimum Years of Work Experience: 4
• Preferred Years of Work Experience: No additional years of experience
• Minimum Leadership Experience: None
• Preferred Leadership Experience: None
• Certifications: None

Competencies:

• Action Oriented
• Collaborates
• Drives Engagement
• Communicates Effectively
• Customer Focus
• Drives Results
• Manages Conflict

Link to Full Job Listing: https://careers.homedepot.com/job/21992458/senior-analyst-supplier-ops-process-onsite

Job Category Option: Outside of Academia

This is a Paid Position: Yes

Includes Health and/or Retirement Benefits: Yes

Contact Name
Bria Benton
bria_benton@homedepot.com

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.

As a Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. This role is expected to present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions. 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, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.

Key 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; Make appropriate selection, utilization and interpretation of 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 made on a project or solution; 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 to support their technical competencies; 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; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; 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, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented

Direct Manager/Direct Reports: This position 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 and 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:

• 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 Power Point
• 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 utilizing statistical techniques to identify key insights that help solve business problems
• Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
• Demonstrated proficiency 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 program or equivalent degree in a field of study 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

Minimum Leadership Experience: None

Preferred Leadership Experience: None

Certifications: None

Competencies:

• Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
• Business Insight: Applying knowledge of the business and the marketplace to advance the organization’s goals
• Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
• Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
• Cultivates Innovation: Creating new and better ways for the organization to be successful
• Customer Focus: Building strong customer relationships and delivering customer-centric solutions
• Develops Talent: Developing people to meet both their career goals and the organization’s goals
• Directs Work: Provides direction, delegating and removing obstacles to get work done
• Drives Results: Consistently achieving results, even under tough circumstances
• Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
• Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
• Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

Link to Full Job Listing: https://careers.homedepot.com/job/21350607/senior-data-scientist-orange-apron-media

Job Category Option: Outside of Academia

This is a Paid Position: Yes

Includes Health and/or Retirement Benefits: Yes