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Image Data Scientist Jobs in Ohio (NOW HIRING)

... Data Scientist AI capabilities. The ideal candidate combines technical depth, business acumen ... image analysis, and multimodal understanding. * Develop generative AI applications using large ...

New

... Data Scientist AI capabilities. The ideal candidate combines technical depth, business acumen ... image analysis, and multimodal understanding. * Develop generative AI applications using large ...

New

... Data Scientist AI capabilities. The ideal candidate combines technical depth, business acumen ... image analysis, and multimodal understanding. * Develop generative AI applications using large ...

New

... Data Scientist AI capabilities. The ideal candidate combines technical depth, business acumen ... image analysis, and multimodal understanding. * Develop generative AI applications using large ...

New

Senior Scientist

Dayton, OH · Remote

$88K - $121K/yr

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop and apply physics-based models, image science methods, and multi-platform remote sensing analytics.

Senior Scientist

Dayton, OH · On-site +1

$88K - $121K/yr

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop and apply physics-based models, image science methods, and multi-platform remote sensing analytics.

Senior Scientist

Dayton, OH · On-site

$88K - $121K/yr

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop and apply physics-based models, image science methods, and multi-platform remote sensing analytics.

Senior Scientist with Security Clearance

Dayton, OH · On-site

$88K - $121K/yr

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop and apply physics-based models, image science methods, and multi-platform remote sensing analytics.

Senior Scientist with Security Clearance

Dayton, OH · On-site

$88K - $121K/yr

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop and apply physics-based models, image science methods, and multi-platform remote sensing analytics.

Work in partnership with data science teams and with business analysts in refining their data ... Professional image with the ability to form relationships across functions. * Provides leadership ...

Work in partnership with data science teams and with business analysts in refining their data ... Professional image with the ability to form relationships across functions. Provides leadership ...

Work in partnership with data science teams and with business analysts in refining their data ... Professional image with the ability to form relationships across functions. * Provides leadership ...

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Showing results 1-20

Image Data Scientist information

What is the difference between Image Data Scientist vs Computer Vision Engineer?

AspectImage Data ScientistComputer Vision Engineer
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of machine learning and image processingBachelor's/Master's in Computer Science, Electrical Engineering, or related fields; expertise in computer vision algorithms and software development
Work EnvironmentData analysis teams, research labs, AI-focused companiesSoftware development teams, robotics, autonomous vehicles, tech companies
Employer & Industry UsageTech firms, healthcare, retail, research institutionsAutonomous vehicles, robotics, surveillance, augmented reality

While both roles involve working with images and machine learning, an Image Data Scientist primarily focuses on analyzing and interpreting image data to extract insights, often working with large datasets and statistical models. In contrast, a Computer Vision Engineer develops algorithms and software to enable machines to interpret visual information, often involving real-time processing and deployment in applications like autonomous vehicles or AR systems.

What is an image data scientist?

Image Data Scientists are professionals who specialize in analyzing, processing, and interpreting image data using advanced techniques such as machine learning, computer vision, and statistical analysis. They work with large datasets of images to extract meaningful insights, develop algorithms for image recognition or classification, and help solve real-world problems in fields like healthcare, autonomous vehicles, and e-commerce. Their role often involves cleaning and labeling image data, building predictive models, and collaborating with software engineers and domain experts to deploy solutions.

What are some common challenges faced by image data scientists when working with large-scale image datasets?

Image Data Scientists often encounter challenges related to managing and processing large volumes of image data, such as ensuring data quality, dealing with imbalanced classes, and handling high computational demands. Efficient data labeling and preprocessing are crucial, as poor annotation can impact model accuracy. Additionally, collaborating closely with engineers and domain experts is key to setting up robust data pipelines and validating model outputs in practical applications.

What are the key skills and qualifications needed to thrive as an image data scientist, and why are they important?

To thrive as an Image Data Scientist, you need expertise in computer vision, machine learning, statistics, and a strong background in mathematics or a related field, often supported by an advanced degree. Proficiency with programming languages like Python, deep learning frameworks (such as TensorFlow or PyTorch), and image processing libraries is typically required. Strong analytical thinking, creativity, and effective communication are essential soft skills for interpreting results and collaborating with multidisciplinary teams. These skills enable the development of accurate image analysis solutions, drive innovation, and ensure the successful implementation of models in real-world applications.
What cities in Ohio are hiring for Image Data Scientist jobs? Cities in Ohio with the most Image Data Scientist job openings:

Microelectronics Security Data Scientist

Riverside Research Institute

Dayton, OH

Full-time

Posted 13 days ago


Job description

Riverside OverviewRiverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems.    All Riverside Research opportunities require U.S. Citizenship.  Position Overview

The Riverside Research Engineering and Support Solutions (ESS) directorate conducts Research and Development (R&D) of cyber-physical attacks against embedded systems. As a Microelectronics Security Data Scientist, you will collaborate with a multi-disciplinary team of research engineers and scientists on a wide range of microelectronics research projects. You will work directly with a team of hardware security research subject matter experts (SME), the senior Principal Investigator, Technical Lead, and Program Manager to support various project-specific research projects developing solutions to complex, open-ended hardware security problems.  The position is in Dayton, OH and requires each employe to possess and maintain a security clearance.  Remote work is not available for this position. Travel is not expected to exceed two to four times a year.

Responsibilities

Job Responsibilities

  • Conduct research in the application of data science, including deep learning and complex statistical data analysis, for problems within microelectronic hardware security
  • Perform all aspects of the data science lifecycle; gather requirements from non-data science technical staff, propose technical approaches, pre-process data, perform exploratory data analysis, model the data, critically evaluate performance of the model, and present findings
  • Develop whitepapers and presentations to communicate research findings
  • Contributes to proposals for new research in similar and/or related technology areas
  • Provide technical mentorship to junior researchers supporting your programs
  • Works collaboratively with customers, multi-disciplinary research partners and Riverside Research business, engineering, and technology teams on complex research and development projects
Qualifications

Required Qualifications

  • A minimum of 5 years of related experience with a Bachelor's degree, 3 years with a Masters degree, a PhD without experience, or equivalent work experience is typically required for an employee at this level.
  • Secret clearance required to start, but must be able obtain Top Secret security clearance and all required program access approvals
  • Expertise with machine learning in one or more of the following: Unsupervised Learning, Bayesian classifiers, Regression, Random Forests, Deep Learning, Graph Neural Networks, Belief Propagation, Statistical Inference, Dimensionality Reduction
  • Proficient in Python and popular data science libraries (NumPy, Scikit-Learn, Matplotlib, etc.)
  • Demonstrated experience across the full data science lifecycle, for classification/regression, clustering, basic text analytics, image recognition, or other related applications.
  • Experience presenting technical material to both technical and non-technical audiences
  • Ability to manage timelines, product delivery, and product quality for research projects
  • Willing to work in a secure US Government facility
  • Interest in solving open-ended research challenges
  • Willing to travel 2-4 times per year
  • Bachelor's Degree in a quantitative discipline (e.g., computer engineering, electrical engineering, statistics, computer science, mathematics, physics, or other STEM fields) and 5 years' experience, or Master's Degree in a related discipline and 3 years' experience, or a PhD in a related discipline

Desired Qualifications

  • Active DoD Top Secret (TS) or equivalent US Government security clearance
  • Experience with TensorFlow, PyTorch, or similar Deep Learning framework
  • Experience with parallel and distributed processing of large data sets across multiple GPUs
  • Experience with data transformations such as Principal Component Analysis (PCA)
  • Experience using revision control software
  • Experience leading a small technical team on research projects
  • Understanding of information theory and its application to cryptographic algorithms
  • Understanding of signal processing is highly desired
  • Bachelor's Degree in a quantitative discipline (e.g., computer engineering, electrical engineering, statistics, computer science, mathematics, physics, or other STEM fields) and 8 years' experience, or Master's Degree in a related discipline and 3 years' experience, or 3 years' practical experience with a PhD in a related discipline
Global Comp This represents the typical compensation range for this position based on experience, location and other factors.Closing Statement  Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring.  Riverside offers comprehensive compensation and benefit packages to our employees. Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.Employment Type: OTHER