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Remote Computer Science Internship Jobs in Ridgewood, NJ

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Role: Data Scientist Location: Remote, however travel might be required as per business ... You have an advanced degree in a quantitative field, such as computer science, engineering, physics ...

AI Intern - IP Operations Hybrid (Remote Considered) | Full-Time Internship | Wayne, PA At Novocure ... Currently pursuing a degree in Computer Science, Engineering, or related field * Rising junior or ...

AI Intern - IP Operations Hybrid (Remote Considered) | Full-Time Internship | Wayne, PA At Novocure ... Currently pursuing a degree in Computer Science, Engineering, or related field * Rising junior or ...

Bachelor's degree in Computer Engineering, Computer Science, Information Technology or related ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Lead Data Scientist

New York, NY · On-site +1

$144K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Android developer

New York, NY · Remote

$61 - $80.25/hr

NY Duration: 6+Months Need Green Card or USC Candidate can work for remote too Qualifications 6+ ... computer science, computer science engineering, or related field required; advanced degree ...

Android developer

New York, NY · Remote

$61 - $80.25/hr

NY Contract to Hire Need Green Card or USC Candidate can work for remote too Qualifications 4+ ... computer science, computer science engineering, or related field required; advanced degree ...

Android developer

New York, NY · Remote

$61 - $80.25/hr

NY Contract to Hire Need Green Card or USC Candidate can work for remote too Qualifications 4+ ... computer science, computer science engineering, or related field required; advanced degree ...

Senior Data Scientist

Brooklyn, NY · On-site +1

$100K - $150K/yr

We're remote but have an office in Brooklyn, New York. We're looking for a Senior Data Scientist to ... Bachelor's in computer science, data science or mathematics related field. Master's degree or PhD ...

Virtual Teacher

New York, NY · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

FL - Computer Science and Business * TN - CTE * TX - CTE and Healthcare/Health Sciences * MN ... As a remote-friendly company, Imagine Learning offers flexible work arrangements across the U.S ...

Showing results 41-60

Remote Computer Science Internship information

What is a remote computer science internship?

A Remote Computer Science Internship is a temporary, virtual position where students or aspiring professionals gain hands-on experience in computer science fields such as software development, data analysis, cybersecurity, or AI. Interns work on real-world projects, collaborate with teams, and develop technical and problem-solving skills—all from a remote location. These internships provide valuable exposure to industry tools, programming languages, and professional workflows, enhancing career prospects.

What kind of support and mentorship can I expect during a remote computer science internship?

Remote Computer Science Interns typically receive regular guidance from designated mentors or team leads through scheduled video calls, chat channels, and collaborative online tools. You'll have access to code reviews, feedback sessions, and opportunities to participate in virtual team meetings, allowing you to learn from experienced professionals and ask questions in real-time. Many organizations also provide onboarding resources, documentation, and community forums to help new interns integrate smoothly. This supportive environment ensures you can develop your skills, overcome remote work challenges, and make meaningful contributions during your internship.

What are the key skills and qualifications needed to thrive in a remote computer science internship, and why are they important?

To thrive as a Remote Computer Science Intern, you should possess a solid understanding of programming languages such as Python, Java, or C++, strong problem-solving abilities, and be actively pursuing or holding a degree in computer science or a related field. Familiarity with version control systems like Git, basic knowledge of software development tools, and exposure to collaborative platforms such as GitHub or Jira are highly valued. Excellent communication, self-motivation, and time management skills enable you to work effectively in a remote environment and stay connected with your team. These competencies are essential for successfully contributing to real-world projects, adapting to remote workflows, and developing professionally during the internship.

What are popular job titles related to Remote Computer Science Internship jobs in Ridgewood, NJ?

For Remote Computer Science Internship jobs in Ridgewood, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Computer Science Internship jobs in Ridgewood, NJ look for?

The top searched job categories for Remote Computer Science Internship jobs in Ridgewood, NJ are:

What cities near Ridgewood, NJ are hiring for Remote Computer Science Internship jobs?

Cities near Ridgewood, NJ with the most Remote Computer Science Internship job openings:

Infographic showing various Remote Computer Science Internship job openings in Ridgewood, NJ as of August 2026, with employment types broken down into 35% Internship, and 65% Full Time. Highlights an 100% Remote job distribution.

Data Scientist

Precision Technologies Corp

New York, NY • Remote

$130K - $135K/yr

Full-time

Re-posted 23 days ago


Job description

Role: Data Scientist

Location: Remote, however travel might be required as per business requirements

FTE Only

Where you’re headed

You’ll creatively use data to solve business challenges, often uncovering new and transformative opportunities along the way. Applying advanced analytics, quantitative tools, and modeling techniques, you’ll interpret and offer recommendations based on insights from the data.

Where you’ve been

You’re a problem solver, data expert, analyst, and communicator, who can create new algorithms from scratch. You have an advanced degree in a quantitative field, such as computer science, engineering, physics, statistics or applied mathematics, and have:

Job Description:

  • Familiarity with statistical techniques, data mining, hypothesis testing, and exploratory data analysis
  • Strong knowledge of programming languages with a focus on machine learning and advanced analytics (such as Python, R, Scala)
  • Experience working with large datasets, data pipelines, and relational databases
  • A collaborative mindset with the ability to communicate complex analytical concepts effectively to both technical and non‑technical stakeholders
  • Excellent problem‑solving skills with the ability to analyze issues, identify root causes, and recommend solutions quickly
  • Proven experience building, validating, and deploying machine learning models end‑to‑end in production environments 
  • Strong understanding of model performance evaluation, experiment design, and model lifecycle management 
  • Ability to translate business problems into analytical frameworks and measurable success metrics 
  • Experience working cross‑functionally with engineering, product, and business teams to deliver impact at scale

 

Good to Have:

  • Experience with Generative AI, including large language models (LLMs), prompt engineering, fine‑tuning, and retrieval‑augmented generation (RAG) 
  • Exposure to Agentic AI concepts, such as autonomous agents, tool usage, planning, memory, and multi‑agent workflows 
  • Familiarity with modern ML/AI frameworks (e.g., PyTorch, TensorFlow) and MLOps tools for deployment and monitoring 
  • Experience deploying AI solutions on cloud platforms (Azure, AWS, or GCP) with an understanding of scalability and cost considerations 
  • Knowledge of responsible AI practices, including model explainability, bias mitigation, and governance