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Vision Science Jobs in Georgia (NOW HIRING)

Data Scientist

Atlanta, GA ยท On-site

$90K - $95K/yr

Full-time benefits include Medical, Dental, Vision, 401K, and other possible benefits as provided. Benefits are subject to change with or without notice. Data Scientist I Responsibilities Include:

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. As ...

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 ...

... 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 ...

... 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 ...

Associate Data Scientist

Atlanta, GA ยท On-site

$56K - $56K/yr

Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As an ...

Showing results 41-60

Vision Science information

See Georgia salary details

$20.7K

$40.9K

$66.7K

How much do vision science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for vision science in Georgia is $40,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $43,900.00 per year, depending on experience, location, and employer.

What is vision science?

Vision science is an interdisciplinary field that studies how visual systems process information. It encompasses research on the anatomy, physiology, and functioning of the eyes and brain, as well as optical, computational, and psychological aspects of vision. Vision scientists work to understand how we perceive visual information, how visual disorders arise, and how technology can enhance or restore vision. Careers in vision science may involve research, clinical practice, or developing new diagnostic and corrective tools.

What are some typical collaborative projects a vision science professional might work on with other departments?

Vision Science professionals frequently collaborate with teams in ophthalmology, neurology, psychology, and engineering, depending on the setting. For example, they may work closely with ophthalmologists to develop and test new diagnostic tools, partner with engineers to refine visual aids or imaging technologies, or collaborate with psychologists to study visual perception and cognition. These interdisciplinary projects help broaden the impact of their research and often lead to innovative solutions in visual health and technology.

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

To thrive as a Vision Scientist, you need a strong background in biology, optics, neuroscience, and experimental design, typically supported by a PhD or advanced degree in vision science or a related field. Familiarity with laboratory equipment, statistical analysis software (such as MATLAB or Python), and imaging systems is essential. Strong analytical thinking, attention to detail, and effective communication skills enable successful research and collaboration. These competencies are crucial for advancing knowledge in visual perception and developing applications in healthcare and technology.

What is the difference between Vision Science vs Optometrist?

AspectVision ScienceOptometrist
Required CredentialsTypically requires a master's or PhD in vision science or related fieldRequires Doctor of Optometry (OD) degree and licensure
Work EnvironmentResearch labs, universities, industry settingsPrivate practices, clinics, healthcare facilities
Industry UsageResearch, product development, academiaPatient eye care, vision testing, prescribing corrective lenses

Vision Science and Optometrists both focus on eye health and vision, but differ in their roles. Vision Science primarily involves research and development in vision-related fields, requiring advanced degrees and working in academic or industry settings. Optometrists, on the other hand, are healthcare professionals providing direct patient care, requiring a Doctor of Optometry degree and licensure. Understanding these differences helps clarify career paths and job expectations in the eye care industry.

What can I do with a master's in vision science?

A master's in vision science prepares individuals for roles such as vision researcher, optometric technician, or vision scientist in clinical, research, or industry settings. Graduates often work in eye care clinics, research laboratories, or with companies developing visual technologies, utilizing skills in optics, neuroscience, and data analysis.

What can you do with a vision science degree?

A vision science degree prepares individuals for careers in research, clinical practice, or industry related to visual health, perception, and optics. Graduates can work as optometrists, vision scientists, research analysts, or in roles involving eye care technology and visual performance assessment, often requiring knowledge of optics, neuroscience, and laboratory skills.

What does a vision science do?

A vision scientist studies how the visual system processes and interprets visual information, often conducting research in areas like optics, perception, and eye health. They may work in laboratories, healthcare settings, or academia, using tools such as microscopes and imaging devices to understand visual function and develop treatments or technologies related to vision. Strong analytical skills and knowledge of biology, physics, and psychology are essential in this field.
Infographic showing various Vision Science job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $40,860 per year, or $19.6 per hour.

Data Scientist

Cherokee Federal

Atlanta, GA โ€ข On-site

$90K - $95K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 14 days ago


Job description


Data Scientist I
The Data Scientist I provides data science, statistical, and advanced analytical support to CDC programs. This role focuses on extracting knowledge from structured and unstructured public health data to support analysis, research, surveillance, improved understanding and communication, visualization, health services delivery, and data-driven decision-making.
The Data Scientist I develops, implements, and monitors advanced analytic, computational, and predictive modeling tools and applies machine learning and artificial intelligence (AI) to public health data. The position works with data from multiple surveillance systems and programs and collaborates with Data Engineering, Product Management, User Experience, subject-matter experts, and other business units to develop innovative data science solutions.
This is a scientific position requiring strong analytical and technical skills, methodological expertise, and the ability to translate complex public health data into meaningful findings, visualizations, reports, and solutions that support CDC programs and public health decision-making.
Compensation & Benefits:
Estimated Starting Salary Range for Data Scientist I: $90,000.00-95,000.00/yr.
Pay commensurate with experience.
Full-time benefits include Medical, Dental, Vision, 401K, and other possible benefits as provided. Benefits are subject to change with or without notice.
Data Scientist I Responsibilities Include:
  • Define and develop statistical and advanced analytic methods and solutions for complex data science projects.
  • Gather, integrate, process, and analyze data from multiple public health surveillance, research, and administrative sources.
  • Conduct exploratory data analysis, anomaly detection, measurement, and structured and unstructured data analysis.
  • Apply machine learning, artificial intelligence (AI), predictive modeling, and prescriptive modeling to public health data.
  • Interpret findings and translate analytical results into actionable insights for public health programs and decision-making.
  • Develop, implement, and monitor advanced analytic and computational tools for CDC programs.
  • Provide technical consultation on health science, data science, programming, and advanced analytical methods as applied to public health.
  • Collaborate with epidemiologists, statisticians, computer scientists, economists, policy analysts, public health professionals, and other subject-matter experts on surveillance, research, and analytical studies.
  • Provide methodological support and innovative solutions for complex analytical projects.
  • Develop data visualizations and other approaches to communicate findings and support understanding of public health data.
  • Support system automation and processes that improve health services delivery and decision-making.
  • Prepare comprehensive reports describing data quality, analytical methodology, results, and relevance to the public health issue under study.
  • Present and disseminate analytical findings to technical and non-technical audiences.
  • Perform other duties as assigned.

Data Scientist I Experience, Education, Skills, Abilities requested:
  • Bachelor's degree in data science, statistics, computer science, health science, public health, epidemiology, or a related field; master's degree preferred.
  • Experience conducting statistical or advanced data analysis using multiple data sources, including public health surveillance, research, or administrative data.
  • Experience with data processing, exploratory analysis, anomaly detection, structured and unstructured data, and interpretation of findings.
  • Experience with predictive or prescriptive modeling, machine learning, artificial intelligence (AI), data visualization, or related advanced analytics.
  • Knowledge of health science, data science, programming, and analytical methodologies as applied to public health.
  • Ability to assess data quality, select appropriate analytical methods, and communicate results and their public health relevance.
  • Experience collaborating with multidisciplinary scientific, technical, and public health professionals.
  • Strong written and verbal communication skills, including the ability to explain complex analytical concepts and findings to diverse audiences.
  • Ability to develop innovative solutions and manage complex data science projects.
  • Must pass pre-employment qualifications of Cherokee Federal.

Data Scientist I Preferred Qualifications requested:
  • Experience applying advanced analytics, machine learning, artificial intelligence, predictive modeling, or computational methods to public health data.
  • Experience working with large, complex, structured, and unstructured datasets or public health surveillance systems.
  • Experience developing automated analytical processes or data visualizations.

Company Information:
Cherokee Nation Integrated Health (CNIH) is a part of Cherokee Federal - the division of tribally owned federal contracting companies owned by Cherokee Nation Businesses. As a trusted partner for more than 60 federal clients, Cherokee Federal LLCs are focused on building a brighter future, solving complex challenges, and serving the government's mission with compassion and heart. To learn more about CNIH, visit cherokee-federal.com.
#CherokeeFederal #LI-CK1
Cherokee Federal is a military friendly employer. Veterans and active military transitioning to civilian status are encouraged to apply.
Similar Searchable Job Titles:
  • Public Health Data Analyst
  • Program Evaluation Analyst
  • Epidemiology Analyst I
  • Health Data Analyst
  • Monitoring & Evaluation Analyst

Keywords:
  • Data Science
  • Statistical Analysis
  • Advanced Analytics
  • Public Health Data
  • Public Health Surveillance
  • Machine Learning
  • Artificial Intelligence (AI)
  • Predictive & Prescriptive Modeling
  • Data Visualization
  • Data Quality
  • System Automation
  • Data Quality
  • System Automation

Legal Disclaimer: All qualified applicants will receive consideration for employment without regard to protected veteran status, disability or any other status protected under applicable federal, state or local law.
Many of our job openings require access to government buildings or military installations.

Cherokee Federal logo

About Cherokee Federal

Sourced by ZipRecruiter

Cherokee Federal - a division of Cherokee Nation Businesses - is a team of tribally owned federal contracting companies focused on building solutions, solving complex challenges, and serving the nation's mission around the globe for more than 60 federal clients. Our team of companies manages nearly 1,000 projects of all sizes across the construction, consulting, engineering and manufacturing, health, and technology portfolios. Since 2012, the Cherokee Federal team of companies has won more than $5 billion in government contracts. Our 3,000+ employees work in 26 countries, 50 states and 2 U.S. territories. Why choose Cherokee Federal? Visit our website and learn about the great reasons to join our team. cherokee-federal.com

Industry

Architectural services

Company size

1,001 - 5,000 Employees

Headquarters location

Tulsa, OK, US

Year founded

1969

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