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Computer Vision Data Scientist Jobs (NOW HIRING)

Your Day to Day as a Data Scientist, Computer Vision: * Lead end to end Computer Vision classification: problem definition, dataset creation, experiment design, model training, evaluation, deployment ...

About the Role We are seeking a Data Scientist II with strong experience in computer vision and deep learning to join our document verification team. This role is intended for an experienced ...

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Developing computer vision models that improve, accelerate, and automate asset inspections processes Strong Python programing Department Overview The Data Science & Artificial Intelligence Department ...

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Computer Vision Data Scientist information

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$46K

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$243.5K

How much do computer vision data scientist jobs pay per year?

As of Jun 13, 2026, the average yearly pay for computer vision data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are Computer Vision Data Scientists?

Computer Vision Data Scientists are professionals who use data science techniques and machine learning to enable computers to interpret and understand visual information from images or videos. They design and develop algorithms that can detect, recognize, and classify objects, faces, scenes, and activities within visual data. Their work is critical in applications like autonomous vehicles, medical imaging, surveillance, and augmented reality. They often work with deep learning frameworks, large datasets, and require strong programming and analytical skills.

What are the key skills and qualifications needed to thrive as a Computer Vision Data Scientist, and why are they important?

To thrive as a Computer Vision Data Scientist, you need a strong background in machine learning, computer vision algorithms, and programming skills in languages like Python, often supported by a relevant degree in computer science or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), experience with image processing libraries (like OpenCV), and knowledge of cloud platforms are typically required. Strong analytical thinking, creativity in problem-solving, and effective communication skills help in developing innovative solutions and collaborating with cross-functional teams. These skills are crucial for building robust computer vision models that drive impactful applications in areas like autonomous vehicles, healthcare, and retail.

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

AspectComputer Vision Data ScientistComputer Vision Engineer
Required SkillsData analysis, statistical modeling, machine learning, programming (Python, R)Software development, algorithm implementation, system deployment
Work EnvironmentResearch, data analysis, model developmentSoftware engineering, system integration, deployment
Common CertificationsMachine Learning, Data Science certificationsComputer Vision, Software Engineering certifications
Industry UsageResearch labs, data-driven companies, academiaTech companies, startups, product development teams

While both roles involve computer vision, the Computer Vision Data Scientist focuses on analyzing data, developing models, and deriving insights, whereas the Computer Vision Engineer emphasizes building, deploying, and maintaining computer vision systems in production environments.

How does a Computer Vision Data Scientist typically collaborate with cross-functional teams in a project setting?

As a Computer Vision Data Scientist, you will frequently collaborate with software engineers, product managers, and domain experts to develop and deploy machine learning models. You may work closely with data engineers to source and preprocess large datasets, and partner with software developers to integrate your models into production systems. Effective communication is crucial, as you'll need to explain complex technical concepts to non-technical stakeholders and translate business requirements into actionable data science tasks. This collaborative environment fosters innovation and ensures that computer vision solutions are aligned with broader organizational goals.
What cities are hiring for Computer Vision Data Scientist jobs? Cities with the most Computer Vision Data Scientist job openings:
What states have the most Computer Vision Data Scientist jobs? States with the most job openings for Computer Vision Data Scientist jobs include:
Computer Vision Data Scientist

Computer Vision Data Scientist

IDEXX Laboratories

Westbrook, ME • Hybrid

$128K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago


IDEXX Laboratories rating

7.6

Company rating: 7.6 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

51st of 103 rated laboratories


Job description

We are seeking a Computer Vision Data Scientist with a few years of accomplished image analysis experience to develop imaging algorithms for veterinary clinical instrument platforms. In this role you will join a team developing microscopy algorithms for IDEXX's revolutionary inVue platform. Your work will have immediate impact transforming cytology analysis in the veterinary clinic. This role offers hands-on experience developing algorithms that combine deep learning and classical computer vision approaches to solve challenging image discrimination problems that will be deployed on embedded systems. You will work on a cross-functional team of clinical, technical and business experts. If solving high impact and challenging computer vision problems excites you, we want to talk to you!

Why this role matters:

Cytology is one of the most impactful diagnostics in veterinary medicine, and today it still relies heavily on manual review, variable image quality, and timeconsuming workflows. The algorithms you build in this role directly shape how veterinarians identify disease, make treatment decisions, and deliver care in real time.

In this role:

  • Develop and implement computer vision algorithms combining supervised deep learning (CNNs, transformers), unsupervised machine learning, and classical techniques (feature extraction, morphological operations, edge detection) for discrimination tasks.

  • Assist in the research, prototyping, and implementation of computer vision solutions for medical imaging and cellular analysis applications.

  • Support the development and validation of image processing pipelines that perform reliably across diverse imaging conditions and sample variations.

  • Work with the team to implement and optimize computer vision models for deployment on embedded devices and NVIDIA GPUs.

  • Conduct experiments and performance evaluations to validate algorithm performance, including benchmarking and statistical analysis.

  • Collaborate with cross-functional teams including engineers, clinical experts, and product stakeholders to understand and address clinical requirements.

  • Contribute to technical documentation for computer vision development, including algorithm design and validation methodologies.

  • Stay current with advances in computer vision, machine learning, and medical imaging through continuous learning.

  • Guide the work of junior imaging data scientists.

What you need to succeed:

  • M.S. in Computer Science, Electrical Engineering, Data Science, or related field, or B.S. with relevant internship/project experience in computer vision.

  • Foundational knowledge of both classical computer vision techniques and modern deep learning approaches.

  • Proficiency in Python and experience with deep learning frameworks, particularly PyTorch.

  • Experience designing, training, and evaluating CNNs or other neural architectures for image classification, segmentation, or detection (through coursework, projects, internships, or research).

  • Exposure to model optimization and deployment considerations for resource-constrained environments.

  • Understanding of challenging discrimination problems in imaging (e.g., subtle feature detection, class imbalance).

  • Solid foundation in experimental design including dataset preparation, validation strategies, and performance evaluation.

  • Familiarity with cloud platforms, particularly AWS, is a plus.

  • Exposure to Databricks or similar ML workflow platforms is beneficial but not required.

  • Strong analytical and problem-solving abilities with attention to detail.

  • Interest in or exposure to microscopy imaging, digital cytology, or histopathology is a plus.

  • Ability to communicate technical concepts clearly and work effectively in team settings.

  • Enthusiasm for learning and applying new techniques to solve real-world problems.

What you can expect from us:

  • Base salary range starting at $128,000 based on experience

  • Opportunity for annual cash bonus

  • Health / Dental / Vision Benefits Day-One

  • 5% matching 401k

  • Additionalbenefits including but not limited to financial support, pet insurance, mentalhealth resources, volunteer paid days off, employee stock program, foundation donationmatching, and much more

This is a hybrid role and will require you to be in the office 2 days per week.

Why IDEXX:

We're proud of the work we do, because our work matters. An innovation leader in every industry we serve since 1983, our team members help pet owners worldwide keep their companion animals healthy and happy, ensure safe drinking water for billions, and help farmers protect livestock and poultry from disease. We have customers in over 175 countries and a collaborative global workforce. Our culture embraces challenges and encourages learning and discovery. At IDEXX, you'll be supported by competitive compensation, incentives, and benefits while enjoying purposeful work that drives improvement. If meaningful work and a sense of purpose are at the top of your list, you'll find it here. Let's pursue what matters together.

IDEXX values a diverse workforce and workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. IDEXX is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws.

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