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Temporary Edge Computing Jobs (NOW HIRING)

3M

Internship - 2027 Undergraduate IT Intern

Maplewood, MN · On-site

$15.25 - $20.50/hr

Teams with internship opportunities include networking, edge computing, platform engineering ... S., refugees, "Temporary Residents" (granted Amnesty or Special Agricultural Worker provisions), or ...

3M

Internship - 2027 Undergraduate IT Intern

Maplewood, MN · On-site

$15.25 - $20.50/hr

Teams with internship opportunities include networking, edge computing, platform engineering, web ... S., refugees, "Temporary Residents" (granted Amnesty or Special Agricultural Worker provisions), or ...

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How much do temporary edge computing jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for temporary edge computing in the United States is $20.30, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $24.04 per hour, depending on experience, location, and employer.

What is the difference between Temporary Edge Computing vs Temporary Network Technician?

AspectTemporary Edge ComputingTemporary Network Technician
Required CredentialsCertifications in edge computing, networking, or cloud platformsCertifications in networking, Cisco, CompTIA Network+
Work EnvironmentDistributed, on-site at edge locations, often in remote areasIndoor data centers, server rooms, or on-site at client premises
Employer & Industry UsageTech companies, IoT providers, cloud service providersTelecom, IT services, enterprise networks

Temporary Edge Computing professionals focus on deploying and managing computing resources at network edges, often in remote or distributed environments. In contrast, Temporary Network Technicians primarily install, troubleshoot, and maintain network infrastructure in data centers or client sites. Both roles require technical certifications and are vital in their respective industries, but they differ in work environment and specific skill sets.

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Temporary Edge Computing jobs near you
Infographic showing various Temporary Edge Computing job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 11% Part Time, and 1% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $42,216 per year, or $20.3 per hour.

Senior Data Scientist

New Bremen, OH • On-site

Crown Equipment Corporation
Trucking • 10K+ employees
Learn more about Crown Equipment Corporationexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.

Crown Equipment Corporation rating

8.0

Company rating: 8.0 out of 10

Based on 259 frontline employees who took The Breakroom Quiz

Job description

Company Description:

Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world’s largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.

Job Posting External

Primary Responsibilities

  • Build and maintain scalable data science pipelines and workflows using modern tools and frameworks.
  • Implement MLOps practices to ensure model reproducibility, monitoring, and lifecycle management.
  • Collaborate with data engineering teams to ensure data quality, accessibility, and pipeline reliability.
  • Deploy models into production environments and monitor performance over time.
  • Develop and maintain code libraries, documentation, and best practices for data science work.
  • Identify high-value opportunities where advanced analytics can drive business outcomes.
  • Evaluate and recommend new tools, technologies, and approaches to enhance data science capabilities.
  • Lead proof-of-concept initiatives to demonstrate the value of innovative analytical approaches.
  • Establish standards and frameworks for data science work across the organization
  • Design, develop, and deploy predictive and prescriptive models to address key business challenges in manufacturing, supply chain, quality, and operations.
  • Build machine learning models for demand forecasting, production optimization, predictive maintenance, quality prediction, and yield improvement.
  • Develop statistical models to identify root causes of process variations, defects, and operational inefficiencies.
  • Create optimization algorithms for resource allocation, production scheduling, and inventory management.
  • Apply natural language processing and computer vision techniques where applicable to manufacturing use cases.
  • Conduct A/B testing and experimental design to validate hypotheses and measure impact of interventions.
  • Partner with business stakeholders across manufacturing, operations, supply chain, quality, and maintenance to understand requirements and pain points.
  • Work closely with data engineers, analysts, and IT teams to integrate data science solutions into business processes.

Minimum Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field, along with at least 5 years of experience
    • Non-degree considered if 12+ years of related experience along with a high school diploma or GED

Preferred Qualifications

  • 6 years of relevant project experience in successfully launching, planning, and executing data science projects, including statistical analysis, data engineering, and data visualization.
  • Experience leading projects that apply ML and data science to business functions.
  • Fluency in multiple programming languages and statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS.
  • Knowledge of statistical and data mining techniques such as GLM/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, CNN, RNN.
  • Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models.
  • MS in quantitative discipline (Computer Science, Data Science, Statistics or related fields).
  • Knowledge of Six Sigma, Lean Manufacturing, or related process improvement methodologies.
  • Experience with predictive maintenance, quality analytics, or process optimization in manufacturing.
  • Familiarity with IIoT platforms and edge computing.
  • Experience with computer vision applications for quality inspection or process monitoring.
  • Publications or presentations at data science conferences or in peer-reviewed journals.
  • Certifications in cloud platforms (Azure, AWS) or data science specializations.

Work Authorization:

Crown will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas or who need sponsorship for work authorization now or in the future, are not eligible for hire.


No agency calls please.

Compensation and Benefits:

Crown offers an excellent wage and benefits package for full-time employees including Health/Dental/Vision/Prescription Drug Plan, Flexible Benefits Plan, 401K Retirement Savings Plan, Life and Disability Benefits, Paid Parental Leave, Paid Holidays, Paid Vacation, Tuition Reimbursement, and much more.

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About Crown Equipment

Sourced by ZipRecruiter

Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world's largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.

Industry

Trucking and warehousing and storage

Company size

10,000+ Employees

Headquarters location

New Bremen, OH, US

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