Jobs Board

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

Responsibilities

• Analyzing complex processes from an enterprise perspective.
• Assessing operations, identifying opportunities for enhancement, and developing solutions.
• Evaluating alternative concepts using mathematical models, simulation tools, and supply chain theory.
• Documenting functional capability requirements for subsequent use as the basis for software development.
• Conducting and documenting results from functional software tests.
• Performing studies and analyses and generating technical documentation of the results.
• Creating and presenting briefings to communicate findings and recommendations

Qualifications

• Current enrollment in a degree seeking program at an HBCU required
• Availability to work full-time for at least 10-12 weeks for summer 2025
• Must be available starting at the end of May 2025
• Pursuing a major in Engineering, Modeling & Simulation, Computer Science, Industrial Engineering, Math, Operations Research,
• Business Administration, or related fields.
• Basic proficiency with a variety of data analysis tools, spreadsheets, and database programs.
• Strong written and verbal communication skills, including the ability to compose and write a variety of internal and external documents, reports, and presentations.
• Strong interpersonal and listening skills required, with ability to develop and maintain professional relationships within LMI and with its clients.
• Ability to contribute to a professional work environment by demonstrating integrity, promoting teamwork, and fostering positive communication.
• Strong problem solving, time-management, and organizational skills.
• Strong planning skills and the ability to coordinate and prioritize assignments with minimum supervision. Must be self-directed and detail oriented in completing assigned tasks and projects.
• Applicants selected for this position will be subject to a government security investigation and must meet eligibility requirements for access to classified information. For this position, LMI will only consider applicants who are eligible for security clearances. Only US
• Citizens are eligible for a security clearance.

DESIRED QUALIFICATIONS/SKILLS

• Experience working with Microsoft Excel and Access.
• Experience with Visual Basic for Applications and Java is highly desirable.
• Programming experience—ability to program and learn new programming languages quickly.

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

Contact Name: Kristen Bernal
Contact Email: Kristen_R_Bernal@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

Contact Name: Kristen Bernal

Contact Email: Kristen_R_Bernal@homedepot.com