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Computer Science Remote Internships Jobs in Wayne, NJ

Data Scientist

New York, NY ยท 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 ...

Manager - Rights Management

New York, NY ยท On-site +1

$80K - $400K/yr

Bachelor's degree in engineering, information systems, computer science, business administration ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Manager - Rights Management

New York, NY ยท On-site +1

$80K - $400K/yr

Bachelor's degree in engineering, information systems, computer science, business administration ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Lead Data Scientist

New York, NY ยท On-site +1

$144K - $250K/yr

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 ...

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Computer Science Remote Internships information

What are computer science remote internships?

Computer science remote internships are work opportunities for students or recent graduates to gain practical experience in computer science while working from a location outside of a traditional office, typically from home. Interns collaborate with teams online, using digital tools to complete tasks such as coding, software development, data analysis, or technical support. These internships provide valuable exposure to real-world projects, industry practices, and professional networking, all without the need to relocate. Remote internships are especially popular in tech fields where much of the work can be done online. They often offer flexibility in schedules and are available with companies around the world.

What types of projects can I expect to work on during a remote computer science internship, and how will I collaborate with my team?

As a remote computer science intern, you'll typically work on real-world software development projects such as coding new application features, debugging existing code, or contributing to open-source initiatives. Communication and collaboration usually take place through tools like Slack, GitHub, and video conferencing platforms, allowing you to participate in daily stand-ups, code reviews, and team meetings. You may be paired with a mentor or work within a small agile team, gaining exposure to industry-standard development practices and collaborative workflows. While managing your own tasks independently is important, you'll also have regular check-ins and opportunities to ask questions, ensuring you remain connected and supported throughout the internship.

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

To thrive as a Computer Science Remote Intern, you typically need a solid understanding of programming fundamentals, algorithms, and data structures, often supported by ongoing or completed coursework in computer science or related fields. Familiarity with version control systems like Git, collaboration tools such as Slack or Zoom, and exposure to languages like Python, Java, or JavaScript are highly valuable. Strong self-motivation, time management, and effective written communication skills help interns excel in remote environments. These abilities enable interns to contribute effectively to distributed teams, manage projects independently, and adapt to rapidly changing technical tasks.

What is the difference between Computer Science Remote Internships vs Software Developer Internships?

AspectComputer Science Remote InternshipsSoftware Developer Internships
Required CredentialsTypically a computer science student or related field, some coding knowledgeSimilar, often requiring programming skills and coursework in software development
Work EnvironmentRemote, flexible, project-basedRemote or hybrid, focused on coding and software projects
Employer & Industry UsageTech companies, startups, research institutionsTech firms, software companies, startups
Search & Comparison IntentLooking for general computer science internship opportunitiesSeeking specific software development internship roles

Computer Science Remote Internships and Software Developer Internships share similar credentials and work environments, often targeting tech companies and startups. However, CS internships tend to be broader, encompassing various computer science topics, while Software Developer Internships focus specifically on coding and software creation. Both are valuable for gaining industry experience remotely.

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

The top searched job categories for Computer Science Remote Internships jobs in Wayne, NJ are:

What cities near Wayne, NJ are hiring for Computer Science Remote Internships jobs?

Cities near Wayne, NJ with the most Computer Science Remote Internships job openings:

Sr. Data Researcher || 100% REMOTE

GD Resources LLC

Manhattan, NY โ€ข On-site, Remote

$140K - $160K/yr

Full-time

Posted 22 days ago


Job description

Job Title - Sr. Data Researcher
Location - 100% REMOTE
Base Salary - $140,000 - $160,000
JOB #. 83483208
Industry: Education / Training / Libraries
Job Category: Information Technology - Business Intelligence
*** Client Screening Questions ***
1- Do you have Ph. D?
2- Do you have background in relational databases, big data systems, and data analytic systems?
3- Are you familiar with git and project management tools, such as JIRA ?
Ideal Candidate
PhD in Computer Science, or similar fields
Background in relational databases, big data systems, and data analytic systems
Expertise in data management, data cleaning, distributed systems, database storage engines, query processing and query optimization, and applied data science
Job Details:
We are interested in a variety of topics including big data management, self-service data cleaning and transformation at scale, data quality, search and discovery of structured data, information extraction, time-series and heterogenous data analytics, metadata management, applied AI, machine learning and data mining, data visualization, natural language processing and big data systems including systems' concerns such as: resource management, storage, caching, query processing, query optimization, security, and privacy.
Key Responsibilities:
Investigate heterogenous data management techniques and polystore systems, including the application of AI & machine learning techniques to foundational data management problems including data quality, data profiling, data integration and schema matching.
Develop tools and frameworks to enable scalable development of machine learning models and data science algorithms across data domains, including tabular, time series, text, audio and video.
Create distributed data processing architectures that leverage "compute at the edge" to enable novel use cases and applications such as predictive routing, data-driven experiences, and adaptive environments.
Work with GEIS researchers to understand data-related opportunities in peer researchers' domains such as applied AI and machine learning in Audio / Video domains.