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Image Data Scientist Jobs in Michigan (NOW HIRING)

Meijer Companies Ltd

Data Scientist

Grand Rapids, MI · On-site

Data Scientists on the team will drive data wrangling, statistics, Machine Learning, Artificial ... speech/text/image recognition, supervised and unsupervised learning models, forecasting and/or ...

Kla

Sr. Algorithm Engineer (Image Processing)

Ann Arbor, MI · Hybrid

$105K - $180K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... There is never a dull moment with us. /Preferred Qualifications Join KLA in Michigan as an Image ...

Management Business Solutions

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Imaging Systems Engineer

Zeeland, MI · On-site

$95K - $105K/yr

... Science, Computer Engineering, Mathematics, or a related discipline. * Minimum of 2 years of hands-on experience in image quality evaluation or analysis. * Strong proficiency in scripting and data ...

twenty80.io

Imaging Systems Engineer

Zeeland, MI

$95K - $105K/yr

Collect, analyze, and interpret image data using both quantitative metrics and visual assessments ... Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related technical ...

Orbotech

Engineering Technician

Ann Arbor, MI

$26.98 - $45.87/hr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... These CoE include Handling & Automation, Precision Motion Control, Sensors & Image Acquisition ...

KLA Corporation

Engineering Technician

Ann Arbor, MI · On-site

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... These CoE include Handling & Automation, Precision Motion Control, Sensors & Image Acquisition ...

KLA Corporation

Engineering Technician

Ann Arbor, MI

$26.98 - $45.87/hr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... These CoE include Handling & Automation, Precision Motion Control, Sensors & Image Acquisition ...

Magna

Engineer I - Software Algorithm

Auburn Hills, MI · On-site

... Science, or equivalent. * Minimum of 3 years of experience in computer vision and image-processing ... Experience in image segmentation, object detection, and image data preparation/enhancement (e.g ...

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All JobsImage Data Scientist JobsImage Data Scientist Jobs in Michigan

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 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.
What are popular job titles related to Image Data Scientist jobs in Michigan? For Image Data Scientist jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Image Data Scientist jobs in Michigan look for? The top searched job categories for Image Data Scientist jobs in Michigan are:
What cities in Michigan are hiring for Image Data Scientist jobs? Cities in Michigan with the most Image Data Scientist job openings:
Image Data Scientist jobs near you
Data Scientist

Data Scientist

Meijer Companies Ltd

Grand Rapids, MI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Meijer rating

6.2

Company rating: 6.2 out of 10

Based on 1,616 frontline employees who took The Breakroom Quiz

19th of 39 rated national retailers

Job description

As a family company, we serve people and communities. When you work at Meijer, you're provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family - take care of your career and your community!

Meijer Rewards

  • Weekly pay

  • Scheduling flexibility

  • Paid parental leave

  • Paid education assistance

  • Team member discount

  • Development programs for advancement and career growth

Please review the job profile below and apply today!

The Pharmacy Analytics team at Meijer leads the strategy, development and integration of analytics for Meijer Pharmacy. Data Scientists on the team will drive data wrangling, statistics, Machine Learning, Artificial Intelligence and system efficiencies by delivering innovative data driven solutions. Through these applications, data scientists drive material business value, mitigate business and operational risk, and significantly impact customer experience. This role works directly with merchandising, marketing, operations, IT, and vendor partners.


What You'll Be Doing:

  • Deliver against the overall data science strategy to drive a safe and secure patient experience, marketing, customer loyalty, and operational performance.
  • Partner with stakeholders to define requirements which meet system and customer experience needs for data science projects.
  • Partner with stakeholders to understand the journey that will be improved with the data science deliverables.
  • Build prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, data transformations, statistical models, machine learning and artificial intelligence functions to meet end user needs.
  • Partner with product development and technology teams to deploy pipelines into production environment following Safe Agile methodology as required.
  • Develop data driven solutions for strategic cross-functional initiatives, develop and present business cases, and gain stakeholder alignment of solution.
  • Help to define, document and follow best practices for ML/AI development at Meijer.
  • Deliver communication to data consumers to ensure they understand data science products, have the proper training, and are following the best practices in application of data science products.
  • Monitor and analyze Key Performance Indicators to ensure the usage, adoption, health and value of data products.
  • Partner and communicate with internal teams and IT to ensure the architecture of data and systems are meeting data science team service level needs
  • Maintain relationships with key partners, suppliers and industry associations and continue to advance data science capabilities, knowledge and impact
  • This job profile is not meant to be all inclusive of the responsibilities of this position; may perform other duties as assigned or required

What You'll Bring With You:

  • Advanced Degree (MA/MS, PhD) in Mathematics, Statistics, Economics, Sociology or related quantitative field
  • 4+ years of relevant data science experience in an applied role preferable in retail, pharmaceutical, logistics, supply chain or CPG industry.
  • Demonstrated strength in using: Python, Databricks, Azure ML, Azure Cognitive Service, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch.
  • Experience with Azure Cloud technologies: Azure Synapse, Azure Data Factory, ADLS, and Azure DevOps/MLOps
  • Experience with Microsoft Fabric, PowerBI Reporting, Semantic Models, Ontology, Copilot
  • Experience working with large datasets and developing ML/AI systems such as: natural language processing, speech/text/image recognition, supervised and unsupervised learning models, forecasting and/or econometric time series models
  • Proactive, curious and action oriented
  • Ability to collaborate with, and present to internal and external partners
  • Able to learn company systems, processes and tools, and identify opportunities to improve
  • Detail oriented and organized
  • Ability to meet production deadlines
  • Strong communications, interpersonal and organizational skills
  • Excellent written and verbal communication skills
  • Understanding of intellectual property rights, compliance and enforcement. Appreciation of HIPAA and other personal health or credit information confidentiality.

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