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Image Data Scientist Jobs in Florida (NOW HIRING)

kgs

Data Scientist

Cape Canaveral, FL

Image processing * Familiarity with: * Federal data standards * Research methodology * Scientific computing * Geospatial data formats and standards * Publications in peer-reviewed journals * Federal ...

kgs

Data Scientist

Cape Canaveral, FL · On-site

Image processing * Familiarity with: * Federal data standards * Research methodology * Scientific computing * Geospatial data formats and standards * Publications in peer-reviewed journals * Federal ...

Lynker

Marine Sensor Data Scientist - AI/ML

Miami, FL · On-site

$110 - $160/hr

... image datasets. * Assist with field-data collection as needed. * Organize and document data and ... Generate science products that can be used by customers such as stock-assessment scientists.

New

ASR Group

Sr. Data Scientist

Belle Glade, FL · Remote

OVERVIEW Reporting to the VP of R&D, the Senior Data Scientist will serve as a high-level technical ... image-based scouting, harvest planning, logistics optimization, and mill process improvement.

JPMorgan Chase & Co.

Applied AI/ML Lead

Tampa, FL · On-site

... data, ensuring high-quality ground truth datasets for image classification, text categorization, and document extraction tasks. * Build and manage a team of ML engineers and applied scientists ...

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All JobsImage Data Scientist JobsImage Data Scientist Jobs in Florida

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 are popular job titles related to Image Data Scientist jobs in Florida? For Image Data Scientist jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Image Data Scientist jobs in Florida look for? The top searched job categories for Image Data Scientist jobs in Florida are:
What cities in Florida are hiring for Image Data Scientist jobs? Cities in Florida with the most Image Data Scientist job openings:
Image Data Scientist jobs near you
Infographic showing various Image Data Scientist job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist

Grant-Donahue Consulting

Coral Springs, FL

Other

Re-posted 24 days ago

Job description

  • High School Diploma or equivalent
  • The ability to fluently read, write, understand and communicate in English
  • 3 years of relevant experience, medical device industry or equivalent industry experience is preferred

Preferred Requirements:

  • Demonstrable expertise in algorithm development, including, coding, algorithm testing, algorithm validation, and preparing algorithm module for integration into product software / code-base
  • Good working knowledge in ML algorithm development using image-based data and image processing is desirable
  • Ability to conduct experiments to collect data and/or to support algorithm development
  • Advanced expertise in software and other applications used by data scientist for algorithm development
  • Aptitude for problem-solving, strong learning agility, and demonstrable ability to collaborate with other quantitative partners
  • Exceptional written and verbal communication skills including the ability to collaborate effectively with multidisciplinary teams
  • Well-developed organizational skills and the ability to manage several projects simultaneously

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