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Image Data Scientist Jobs in Indiana (NOW HIRING)

Amatriot Group, LLC

Data Scientist

Crane, IN

$80K - $95K/yr

... a Data Scientist to provide engineering and technical support to assist our government customer ... Applied Artificial Intelligence/Machine Learning (AI/ML) for image processing. * Experience with ...

Sonida Senior Living

Activities Director

Greenwood, IN · On-site

$17.25 - $23.75/hr

Microsoft Power BI - one stop for all data needs * Company support for educational and learning ... Creates a strong positive image and establishes good relationships within the community, which may ...

Indiana University

Postdoctoral Appointee

Bloomington, IN · On-site

$45K - $61K/yr

Participate in protocol development, data analysis and report/manuscript preparation. DUTIES AND ... Utilizing confocal, fluorescence and live microscopy to image tissue and cells. b. ELISA, mass ...

CYNET SYSTEMS

Phlebotomist I

Valparaiso, IN · On-site

$19 - $24/hr

Keyboard/data entry experience a must. Responsibilities: * Perform daily activities accurately and ... Demonstrate organizational commitment and promote a positive image to patients, clients, employees ...

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All JobsImage Data Scientist JobsImage Data Scientist Jobs in Indiana

Image Data Scientist information

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 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 are popular job titles related to Image Data Scientist jobs in Indiana?

For Image Data Scientist jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Image Data Scientist jobs in Indiana look for?

The top searched job categories for Image Data Scientist jobs in Indiana are:

What cities in Indiana are hiring for Image Data Scientist jobs?

Cities in Indiana with the most Image Data Scientist job openings:

Image Data Scientist jobs near you
Infographic showing various Image Data Scientist job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Data Scientist

Amatriot Group, LLC

Crane, IN

$80K - $95K/yr

Full-time

Re-posted 18 days ago

Job description

Location: Crane, IN
Security Clearance: Secret
Job Type: Full-Time

Target Salary Range*: $80,000-95,000

*This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary

Position Overview

Amatriot is seeking a Data Scientist to provide engineering and technical support to assist our government customer with the collection of Live Imagery Products for Standardization (CLIPS) within the Department of Navy Electro-Optic (EO) Science and Technology (S&T) community. Products will support algorithm development on Unmanned Surface Vehicles (USV) and other customers. You will demonstrate competent knowledge of Linux systems, computer vision and camera operations.

Key ResponsibilitiesTechnical Analysis and Evaluation
  • Provide annotated and labeled video from Naval Imagery Collection Services (NICS) collections, including descriptors of scene content, collection pedigree, and AI/CV-assisted target labeling of targets within the video.
  • Provide recommendations for improving the fidelity in the ontology, which may include incorporating other data sources such as AIS, ADS-B, etc.
  • Develop and deploy AI/ML and computer Vision workflow tools within Linux environments to support military motion imagery and analysis.
  • Define metadata requirements and schemas to support the complex labeling of military motion imagery and live video streams.
  • Develop metadata tools, automated scripts, and models to support streamlined imagery labeling and video processing pipelines.
  • Develop efficient, Linux-compatible processes and tools for large-scale dataset preparation and dissemination.
  • Develop and implement data models in various formats to support the growth of NICS toolsets and the richness of data captured during data collections; provide documentation, processes, and tools to perform this task.
  • Identify, troubleshoot, and perform NICS hardware and Linux-based software upgrades to support evolving video collection requirements.
Documentation and Standardization
  • Review documentation and community feedback to generate a holistic ontology that captures the variety of scene content, enabling applications based on visual cues from motion imagery.
Testing and Support
  • Perform onsite data collection at scheduled test events using NICS camera and sensor hardware.
  • Attend local meetings and training in support of the effort.
  • Support LXN with engineering services as required.
Travel and On-Site Support
  • Travel is expected to be required in performance of this task.
  • Be present on-site at NSWC Crane to support the effort with occasional telework authorized for weather, illness/recovery or defined special projects.
QualificationsExperience
  • Experience with modern database design and management.
  • Applied Artificial Intelligence/Machine Learning (AI/ML) for image processing.
  • Experience with computer hardware.
  • Experience wit h computer networking.
Skills
  • Excellent writing and communication skills pertaining to business planning and project development.
  • An advanced level of knowledge and experience with Linux environments, Computer Vision (CV) architectures, and camera video processing pipelines.
  • Experience working within a software development team.
  • Coding experience in any major programing language.
  • A basic understanding of Electro-Optic technical operational procedures and requirements.
  • Knowledge of the government communities that work in and with EO.
  • Advance computer programming language experience with C++/or Python.
Certifications
  • Information assurance Technical (IAT) Level II. Minimum Certification requirements must be met prior to performance and maintained throughout the period of performance.

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