1

Science Manager Jobs in Savannah, GA (NOW HIRING)

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 ...

Science Teacher

Bluffton, SC

$44.70K - $57.80K/yr

Model appropriate activities and positive behavior management techniques through daily contact with students and classroom staff. * Collaborate with other staff in developing plans and sharing best ...

Science Teacher

Bluffton, SC · On-site

$44.70K - $57.80K/yr

Model appropriate activities and positive behavior management techniques through daily contact with students and classroom staff. * Collaborate with other staff in developing plans and sharing best ...

Overview The Installation Manager is responsible for developing and evaluating installed programs ... Spreadsheet Software Internet Software Ability to read, analyze and interpret common scientific and ...

Bachelor's degree in chemistry, Food Science, Chemical Engineering, or a related field required ... Comfortable presenting information and responding to inquiries from managers, clients, customers ...

As a Product Management Intern at Danaher, you'll join a collaborative team working across R&D, marketing, and sales to bring cutting-edge life sciences solutions from ideation to market. This role ...

Installation Manager The Installation Manager is responsible for developing and evaluating ... Ability to read, analyze and interpret common scientific and technical reports, financial reports ...

next page

Showing results 1-20

Science Manager information

See Savannah, GA salary details

$8

$24

$50

How much do science manager jobs pay per hour?

As of May 28, 2026, the average hourly pay for science manager in Savannah, GA is $24.54, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $30.43 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 Savannah, GA? The most popular types of Science jobs in Savannah, GA are:
What cities near Savannah, GA are hiring for Science Manager jobs? Cities near Savannah, GA with the most Science Manager job openings:
Manager, Data Science

Manager, Data Science

Broughton Partners

Savannah, GA • On-site

Full-time

Posted 7 days ago


Job description

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 Executive leadership. Your primary focus will be transforming our rich data (Salesforce, Snowflake, call center platforms) into actionable intelligence—lead scoring, conversion forecasting, marketing attribution, call center performance optimization as some examples. You will manage a small team, collaborate with Marketing's Intelligence Director on shared priorities, and operate with significant autonomy to define our analytics roadmap.

  1. Build and deploy predictive models that drive business decisions: lead scoring, conversion forecasting, marketing attribution, fraud detection, capacity planning
  2. Manage and mentor a team of 2 direct reports (Senior Data Analyst and Data Analyst). Develop team capabilities and match work to strengths.
  3. Partner with Marketing Intelligence Director (Marketing org) on shared analytical priorities to maintain one version of truth while respecting organizational swim lanes
  4. Present strategic insights and recommendations to executive leadership monthly, demonstrating measurable business impact (conversion improvement, ROI optimization, cost savings)
  5. Define and own the analytics roadmap—identify what questions the business should be answering and proactively surface insights, not just respond to requests
  6. Collaborate with Data Engineering team to prioritize data quality improvements, ETL enhancements, and infrastructure needs
  7. Establish standardized metrics and methodologies across the organization. Participate actively in Data Governance Council to resolve cross-functional conflicts
  8. Operate with autonomy in defining priorities, methodology, and stakeholder engagement while reporting to Director of Data Operations & Analytics
  9. Other duties as assigned

Education: Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field required. Master's degree preferred or equivalent combination of education and experience.

Work Experience: Minimum of 5-8 years of data science or analytics experience with increasing responsibility. At least 2 years leading analytical initiatives or managing/mentoring analysts or data scientists.

Skills Needed: Expert-level proficiency in SQL, Python, or R, and cloud data platforms (Snowflake preferred). Proven ability to build predictive models (regression, classification, time series) that influenced business strategy. Strong stakeholder management and executive communication skills. Experience in marketing analytics (attribution, ROI), call center operations, or lead-generation business models is strongly preferred.

Licenses or Certification: Not required, but relevant certifications (AWS Certified Machine Learning, Google Professional Data Engineer, or similar) are a plus.


Physical Requirements

Standing, walking, sitting, repetitive movements and use of mechanical controls, such as a keyboard, are frequently required.