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Image Data Scientist Jobs (NOW HIRING)

RiVidium, Inc

Data Scientist- Senior

Quantico, VA · On-site

The Senior Data Scientist will lead end-to-end data science initiatives-from data collection and ... Familiarity with natural language processing (NLP) and/or image processing techniques * Experience ...

LP Building Solutions

Data Scientist

Nashville, TN · On-site

Data Scientist Req Id: 12517 Job Location: Home Office LP, Nashville Posting Start Date: 6/4/26 ... Preferred experience in text analytics, image recognition, graph analysis, or other specialized ML ...

Sarian, Inc.

Sr. Data Scientist

Irving, TX · On-site

Role: Data Scientist Location: Irving, TX - Fulltime Position Data Scientist with Generative AI ... Experience with GANs, text-to-image generation, text generation models * Data wrangling ...

SOSi

Data Scientist Expert

Fort Eisenhower, GA

SOSi is seeking a Data Scientist Expert to support GEOINT mission requirements for US Army ... Design and deploy models for object detection, image classification, feature extraction, and ...

Peraton

Image Scientist (Entry-level)

Springfield, VA · On-site

$80K - $128K/yr

Responsibilities We are seeking an Image Scientist who will support : * Product evaluations ... Science, Data Science, Mathematics or related STEM degree and 0-2 years of experience ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA · On-site

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Bachelor's degree Nice If You Have: * 2+ years of experience with remote sensing image processing ...

Kellton

Imaging Data Scientist

Johnston, IA · On-site

$75/hr

Experience with microscopy image processing, multipage TIFFs, zstacks, autoscale/normalization, and ... and data science groups. Soft Skills * Strong stakeholder communication and the ability to ...

InterImage

Experience analyzing and developing algorithms to correct scientific image data containing aberrations, lensing defects, optical anomalies, distortions, non-linearity, etc. Expertise in developing ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA · On-site

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Bachelor's degree Nice If You Have: * 2+ years of experience with remote sensing image processing ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Bachelor's degree Nice If You Have: * 2+ years of experience with remote sensing image processing ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site

$77K - $176K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Bachelor's degree Nice If You Have: * 2+ years of experience with remote sensing image processing ...

SOSi

Data Scientist Expert

Gordon, GA · On-site

SOSi is seeking a Data Scientist Expert to support GEOINT mission requirements for US Army ... Design and deploy models for object detection, image classification, feature extraction, and ...

SOSi

Data Scientist Expert

Fort Eisenhower, GA · On-site

SOSi is seeking a Data Scientist Expert to support GEOINT mission requirements for US Army ... Design and deploy models for object detection, image classification, feature extraction, and ...

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Showing results 1-20

All JobsImage Data Scientist Jobs

Image Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do image data scientist jobs pay per year?

As of Jul 12, 2026, the average yearly pay for image data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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 Image Data Scientists?

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.
More about Image Data Scientist jobs
What cities are hiring for Image Data Scientist jobs? Cities with the most Image Data Scientist job openings:
What states have the most Image Data Scientist jobs? States with the most job openings for Image Data Scientist jobs include:
What job categories do people searching Image Data Scientist jobs look for? The top searched job categories for Image Data Scientist jobs are:
Image Data Scientist jobs near you
Infographic showing various Image Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist- Senior

Data Scientist- Senior

RiVidium, Inc

Quantico, VA • On-site

Full-time

Re-posted 13 days ago

Job description

Full-Time/Part-Time
Full-Time
Description
RiVidium Inc. is seeking a highly experienced Senior Data Scientist to transform complex data into actionable insights that drive strategic decision-making. The ideal candidate will possess deep expertise in statistical modeling, machine learning, and big data technologies, along with the ability to solve complex problems and predict future trends.
This role requires close collaboration with business stakeholders and cross-functional teams to understand organizational challenges, translate data into meaningful insights, and deliver scalable data-driven solutions. The Senior Data Scientist will lead end-to-end data science initiatives-from data collection and model development to deployment and performance monitoring.
Key Responsibilities
  • Lead the design, development, and deployment of advanced statistical and machine learning models
  • Translate complex data into actionable insights to support business strategy and decision-making
  • Manage data science projects from conception through deployment, ensuring timely and high-quality delivery
  • Collaborate with cross-functional teams to identify business needs and develop data-driven solutions
  • Build and optimize predictive models to solve complex problems and forecast future outcomes
  • Analyze large, complex datasets to identify trends, patterns, and opportunities for improvement
  • Design and implement data platforms for analysis, experimentation, and scalability
  • Assess and improve data quality, data sources, and data collection methodologies
  • Develop algorithms and analytical tools to extract insights from structured and unstructured data
  • Present findings through clear visualizations and storytelling techniques for technical and non-technical audiences
  • Drive innovation and continuous improvement in data science methodologies and technologies
  • Ensure data standardization, governance, and best practices across projects
  • Stay current with emerging trends in data science, machine learning, and artificial intelligence

Minimum Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Operations Research, or a related quantitative field (or equivalent experience in fields such as economics, engineering, or physics)
  • Minimum 10 years of relevant professional experience
  • 6-8 years of experience leading and executing data science projects, preferably in areas such as risk modeling, real-time analytics, performance optimization, or quality assessment
  • Strong proficiency in programming languages such as Python, R, Java, C++, MATLAB, or similar
  • Experience with SQL, PL/SQL, and NoSQL or Hadoop-based database technologies
  • Hands-on experience with data visualization tools and techniques
  • Strong knowledge of machine learning algorithms, statistical modeling, and data mining techniques
  • Experience with big data technologies such as Hadoop, Apache Spark, or similar platforms
  • Familiarity with natural language processing (NLP) and/or image processing techniques
  • Experience working with Microsoft tools, including SharePoint
  • Strong analytical, problem-solving, and critical thinking skills
  • Excellent communication, presentation, and stakeholder engagement abilities
  • Experience working across cloud, on-premises, and hybrid environments, including containerization technologies such as Docker, Kubernetes, and AWS Elastic Container Service (ECS)
  • Experience with data science platforms such as RStudio, Spark, or similar tools
  • Strong documentation and project management skills
  • Active TS/SCI clearance required at contract start

Preferred Qualifications
  • Specialized expertise in text analytics, image recognition, graph analytics, or deep learning
  • Experience solving complex problems in computer vision or natural language processing domains
  • Prior experience supporting the Department of War (DoW) or Department of the Navy (DoN)
  • Familiarity with federal law enforcement (LE) systems or prior experience in LE environments

Work Environment
  • Collaborative, mission-focused environment supporting federal and defense initiatives
  • Opportunity to work on cutting-edge data science and AI/ML technologies

About the Organization
Established in 2008, RiVidium, Inc. (dba TripleCyber) is a VA-Verified SDVOSB and an SBA-Certified 8(a) company. To prepare our clients for the future, RiVidium has balanced all parts of our organization to attract the finest employees in order to 'Strive to be the missing element defining tomorrow's technology'. RiVidium keeps pace and surpasses its competitors by meeting challenges of advancements in Logistics, Human Capital, Cyber, Intelligence & Technology.
EOE Statement
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law. If you need a reasonable accommodation for any part of the employment process, please contact Human Resources (HR) at hr@rividium.com.
This position is currently accepting applications.

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