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Weekend Business Computer Science Jobs in Edison, NJ

Bachelor's degree in Business, Computer Science, Data Science, Engineering, or a related field (MBA preferred). * 5+ years of experience in Product Ownership, Product Management, or Business Analysis.

Bachelor's degree in Business, Computer Science, Data Science, Engineering, or a related field (MBA preferred). * 5+ years of experience in Product Ownership, Product Management, or Business Analysis.

Bachelor's degree in Business, Computer Science, Data Science, Engineering, or a related field (MBA preferred). * 5+ years of experience in Product Ownership, Product Management, or Business Analysis.

Bachelor's degree in Business, Computer Science, Data Science, Engineering, or a related field (MBA preferred). * 5+ years of experience in Product Ownership, Product Management, or Business Analysis.

Bachelor's degree in Business, Computer Science, Data Science, Engineering, or a related field (MBA preferred). * 5+ years of experience in Product Ownership, Product Management, or Business Analysis.

Bachelor's degree in Business, Computer Science, Data Science, Engineering, or a related field (MBA preferred). * 5+ years of experience in Product Ownership, Product Management, or Business Analysis.

Showing results 41-60

Weekend Business Computer Science information

See Edison, NJ salary details

$29K

$88.2K

$185.3K

How much do weekend business computer science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for weekend business computer science in Edison, NJ is $88,181.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,300.00 and $115,400.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Business Computer Science vs Weekend IT Support Specialist?

AspectWeekend Business Computer ScienceWeekend IT Support Specialist
CredentialsTypically requires a degree in computer science or related fieldOften requires certifications like CompTIA A+ or Network+
Work EnvironmentProject-based, research, or development tasks, often in office or lab settingsTechnical support, troubleshooting, and customer service, usually in office or client sites
Industry UsageUsed in software development, data analysis, and tech research sectorsCommon in IT service providers, corporate support, and helpdesk roles

Weekend Business Computer Science focuses on software development, research, and project work, often requiring a degree in computer science. In contrast, Weekend IT Support Specialists handle technical support and troubleshooting, typically with industry certifications. Both roles are part-time weekend positions but serve different functions within the tech industry.

Can you get a business job with a computer science degree?

A computer science degree can qualify you for various business roles such as data analyst, IT consultant, or systems analyst, which often require technical skills like programming, data management, and problem-solving. Many employers value these skills for positions that support business operations, technology integration, and digital transformation.

What business can you do with weekend business computer science?

Weekend Business Computer Science professionals can offer freelance IT support, software development, or consulting services during weekends. They can also develop or maintain websites, manage small business IT needs, or provide training in programming and cybersecurity using their technical skills and tools like programming languages and cloud platforms.
Infographic showing various Weekend Business Computer Science job openings in Edison, NJ as of August 2026, with employment types broken down into 15% Internship, 23% Full Time, 47% Part Time, and 15% Contract. Highlights an 100% In-person job distribution, with an average salary of $88,181 per year, or $42.4 per hour.

AI Product Engineer

Techvilla Solutions

Annandale, NJ • On-site

Full-time

Posted 6 days ago


Job description

We are seeking an experienced AI Product Engineer to lead the development and delivery of AI-driven solutions across insurance business functions, including Underwriting and Claims. This role bridges business and technology, ensuring AI initiatives align with strategic goals and deliver measurable business value.

Key Responsibilities
  • Lead the end-to-end lifecycle of AI products from ideation to deployment and continuous improvement.
  • Partner with business stakeholders to identify, prioritize, and define AI use cases.
  • Translate business requirements into product requirements, user stories, and acceptance criteria.
  • Develop and manage AI product roadmaps and feature backlogs.
  • Collaborate with engineering, data science, and delivery teams using Agile methodologies.
  • Analyze business processes and identify AI and automation opportunities.
  • Drive implementation, adoption, and change management for AI solutions.
  • Define KPIs, monitor product performance, and continuously improve AI capabilities.
  • Work with technical teams to ensure scalable integration with enterprise systems.
  • Support enterprise AI platforms and align AI capabilities with business needs.
Required Qualifications
  • Bachelor's degree in Business, Computer Science, Data Science, Engineering, or a related field (MBA preferred).
  • 5+ years of experience in Product Ownership, Product Management, or Business Analysis.
  • Strong knowledge of insurance operations, particularly Underwriting and Claims.
  • Experience delivering AI/ML or advanced analytics solutions in an enterprise environment.
  • Strong business analysis, process mapping, and requirements gathering skills.
  • Experience with Agile methodologies (Scrum/Kanban).
  • Technical understanding of AI/ML concepts, APIs, and data pipelines.
  • Experience with JIRA, Confluence, Visio, or Lucidchart.
  • Excellent analytical, communication, and stakeholder management skills.
Preferred Qualifications
  • Experience with enterprise AI platforms or AI copilots.
  • Knowledge of data governance, model risk management, and insurance regulatory requirements.
  • Experience leading AI-enabled digital transformation initiatives.
  • Familiarity with Generative AI and enterprise AI solution delivery.