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Science Manager Jobs in Georgia (NOW HIRING)

Our team needs a Data Science Manager who is passionate about analytics. You will lead and grow a top-notch team of data scientists focused on creating stories and insights from data. This team is ...

Our team needs a Data Science Manager who is passionate about analytics. You will lead and grow a top-notch team of data scientists focused on creating stories and insights from data. This team is ...

Our team needs a Data Science Manager who is passionate about analytics. You will lead and grow a top-notch team of data scientists focused on creating stories and insights from data. This team is ...

Our team needs a Data Science Manager who is passionate about analytics. You will lead and grow a top-notch team of data scientists focused on creating stories and insights from data. This team is ...

Our team needs a Data Science Manager who is passionate about analytics. You will lead and grow a top-notch team of data scientists focused on creating stories and insights from data. This team is ...

KPMG is currently seeking a Manager, Data Science to join our Consulting practice. Responsibilities: * Translate advanced business analytics problems into technical approaches that yield actionable ...

As Manager, Data Science, you will lead our data science function, building predictive models and delivering strategic insights that drive business decisions across Marketing, Operations, and ...

Deep knowledge of soil science, plant biology, animal science, agricultural economics, sustainable farming practices, pest management, genetic modification, food science, and environmental ...

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Science Manager information

See Georgia salary details

$7

$22

$45

How much do science manager jobs pay per hour?

As of May 30, 2026, the average hourly pay for science manager in Georgia is $22.25, according to ZipRecruiter salary data. Most workers in this role earn between $14.62 and $27.60 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Science Manager, and why are they important?

To thrive as a Science Manager, you generally need a strong background in scientific research, leadership experience, and an advanced degree such as a PhD or MSc in a relevant field. Familiarity with data analysis software, laboratory information management systems (LIMS), and project management tools is typically required. Outstanding communication, problem-solving, and team-building skills help Science Managers effectively lead multidisciplinary teams and coordinate complex projects. These skills are crucial for ensuring scientific rigor, driving innovation, and achieving organizational objectives in research environments.

What are the main challenges a Science Manager faces when leading interdisciplinary research teams?

One of the main challenges Science Managers encounter is effectively coordinating communication and collaboration among team members from diverse scientific backgrounds. Aligning different methodologies, expectations, and terminologies can require extra effort to ensure everyone is working toward common goals. Additionally, Science Managers must balance administrative responsibilities, such as securing funding and managing budgets, with supporting the scientific growth of their team. Successful Science Managers foster an inclusive environment that encourages innovation while maintaining clear project timelines and deliverables.

What are Science Managers?

Science Managers are professionals who oversee scientific research projects, teams, or departments within organizations such as research institutes, universities, government agencies, or private companies. Their responsibilities include coordinating research activities, managing budgets and resources, ensuring compliance with regulations, and facilitating communication between scientists and other stakeholders. Science Managers play a crucial role in translating scientific objectives into actionable plans and ensuring that projects are completed efficiently and effectively. They often have advanced degrees in science and strong leadership, organizational, and communication skills.

What is the highest paid science job?

The highest paid science jobs are often executive roles such as Chief Scientific Officer or Director of R&D, with salaries exceeding $200,000 annually. These positions typically require advanced degrees, extensive experience, and leadership skills in research and development environments.

What is the difference between Science Manager vs Research Scientist?

AspectScience ManagerResearch Scientist
Required credentialsTypically a master's or PhD in a scientific field, leadership experienceUsually a PhD or master's in a specific science, strong research background
Work environmentLeads teams, manages projects, oversees research activitiesConducts experiments, analyzes data, publishes findings
Employer and industry usageUsed in biotech, pharma, research institutions, and corporate R&DCommon in academia, industry, government research labs

Science Managers focus on leading research teams and managing projects, while Research Scientists primarily conduct experiments and analyze data. Both roles require advanced scientific credentials, but their responsibilities and work environments differ significantly.

What are the most commonly searched types of Science jobs in Georgia? The most popular types of Science jobs in Georgia are:
What cities in Georgia are hiring for Science Manager jobs? Cities in Georgia with the most Science Manager job openings:
Data Science Senior Manager - GenBI

Data Science Senior Manager - GenBI

Home Depot

Atlanta, GA • On-site

Full-time

Posted 17 days ago


Home Depot rating

7.5

Company rating: 7.5 out of 10

Based on 6,226 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers


Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
The Data Science Sr. Manager - GenBI is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.
As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions . This role is expected to lead collaboration between Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.
Key Responsibilities:
  • 50% People Management & Team Leadership - Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments
  • 15% Program Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts; Be a champion and advocate for the team's capabilities, expertise, and needs
  • 25% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to lead the efforts of developing high level strategy and optimizing talent management
  • 10% 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; Ensure best practices and vision for data analysis and model productionalization are leveraged

Direct Manager/Direct Reports:
  • This position reports to Director or above
  • This position has Direct Reports and manages programs

Travel Requirements:
  • Typically requires overnight travel 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 eighteen years of age or older.
  • Must be legally permitted to work in the United States.
  • Demonstrated proficiency in predictive modeling, data mining and data analysis
  • Proficient managing and growing team members in a professional setting
  • Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting
  • Demonstrated experience with translating high level strategy to tactical execution

Preferred Qualifications:
  • Strong background in Business Intelligence (BI), enterprise data strategy, and semantic layers.
  • Experience building, deploying, or working with AI agents and multi-agent architectures.
  • Hands-on experience with Databricks is a strong plus.
  • 11+ years of experience in business intelligence and analytics
  • Previous people or project team management experience
  • Expertise in predictive modeling, data mining and data analysis
  • Mastery 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
  • Experience managing and growing team members in a professional setting

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 Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
  • 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
  • Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • 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 Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives
  • 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
  • Interpersonal Savvy: Relating openly and comfortably with diverse groups of people
  • Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
  • Persuades: Using compelling arguments to gain the support and commitment of others
  • Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies

What Home Depot employees say

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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail and manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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