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Internship Teen Computer Science Jobs in Hackensack, NJ

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Internship Teen Computer Science information

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How much do internship teen computer science jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for internship teen computer science in Hackensack, NJ is $24.97, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $26.49 per hour, depending on experience, location, and employer.

What is the difference between Internship Teen Computer Science vs Junior Software Developer?

AspectInternship Teen Computer ScienceJunior Software Developer
Required CredentialsHigh school diploma or ongoing education, basic programming knowledgeAssociate's or Bachelor's degree in Computer Science or related field, some coding experience
Work EnvironmentEducational settings, tech camps, or entry-level projectsProfessional office or remote work, collaborative teams
Employer & Industry UsageEducational institutions, tech companies, startupsTech firms, software companies, IT departments
Common Search & Comparison IntentLearning opportunities, entry-level experienceCareer progression, job responsibilities

Internship Teen Computer Science positions are designed for high school students or beginners exploring tech, focusing on learning and basic skills. Junior Software Developers are more advanced roles requiring some formal education and coding experience, working on real projects within professional teams. The internship is ideal for gaining initial exposure, while the junior role is a step toward a full-time career in software development.

How to get computer science internships as a freshman?

To secure a computer science internship as a freshman, focus on building strong programming skills in languages like Python or Java, participate in coding competitions, and gain experience through personal projects or open-source contributions. Applying early, networking with professionals, and seeking internships through school programs or online platforms can also improve your chances.

Which internship is best for a computer science student?

The best internship for a computer science student depends on their interests and career goals, but generally, internships at technology companies or research labs that offer hands-on experience with programming, software development, or data analysis are highly valuable. Look for opportunities that provide mentorship, exposure to real-world projects, and skills in programming languages like Python, Java, or C++, as well as familiarity with tools such as Git and Linux. These internships can enhance technical skills and improve job prospects after graduation.

What are popular job titles related to Internship Teen Computer Science jobs in Hackensack, NJ?

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

What cities near Hackensack, NJ are hiring for Internship Teen Computer Science jobs?

Cities near Hackensack, NJ with the most Internship Teen Computer Science job openings:

Infographic showing various Internship Teen Computer Science job openings in Hackensack, NJ as of June 2026, with employment types broken down into 3% As Needed, 46% Full Time, 45% Part Time, and 6% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $51,937 per year, or $25 per hour.

6 months Internship in Strategy & Data Science | New York

Ekimetrics

New York, NY โ€ข On-site

$2.8K/mo

Internship

Re-posted 6 days ago


Job description

Ekimetrics is a global leader in Marketing Effectiveness and AI-powered solutions. Since 2006, we've been helping businesses optimize marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing Effectiveness, Customer Analytics, Operational Excellence, ESG & sustainability.
With a full in-house team and offices in Paris, London, New York, Hong Kong, and Shanghai, we deliver tailor-made solutions that turn data into real positive impact, leveraging our unique combination of technology and services.
We excel at delivering AI impact at scale. Our mission is to harness this power to tackle the world's most urgent issues. We commit to responsibility and frugality in AI, systematic AI impact at scale, and loyalty to our values and DNA.
Your Responsibilities
As an intern at Ekimetrics, you will contribute to high-quality analytics projects for international clients across industries such as Auto, Beauty, Retail, and Financial Services. You will gain hands-on experience in marketing and customer analytics, working closely with Senior Business Scientists and Managers.
- Contribute to one major client project in Marketing Mix Modeling (MMM) and Marketing Mix Optimization (MMO)
- Clean, prepare, and manipulate data from multiple sources using Python, R, SQL, or Excel
- Support statistical and predictive modeling, including regression, econometrics, Bayesian methods, and marketing metrics.
- Help develop dashboards, charts, and visualizations to communicate insights effectively to clients and internal teams.
- Participate in client meetings and calls under supervision, contributing insights and helping translate analytics into practical recommendations
- Support the preparation of client deliverables, ensuring accuracy, quality, and timely delivery
- Take part in team knowledge-sharing sessions, learning from colleagues and sharing best practices where possible
- Take ownership of professional development, pursuing relevant certifications and training paths in programming, analytics, and data science
- Actively participate in office meetings, training sessions, and team initiatives
- Champion and role-model our core values: Curiosity, Creativity, Excellence, Generosity, and Enjoyment
Your Profile
Experience & Technical Skills
- 0-2 years of professional experience, including internships or graduate placements
- Bachelor's or Master's degree (or equivalent) in Statistics, Economics, Data Science, Computer Science, Applied Mathematics, or a related analytical field
Basic knowledge of Python or R, and other analytics tools; willingness to learn more advanced techniques
- Understanding of statistical modeling, regression, econometrics, Bayesian statistics, and/or marketing metrics
- Ability to work with and clean large datasets while maintaining attention to quality
- Nice-to-have experience with Databricks, Azure, or MMM exposure
- Proficient in Microsoft Office (Excel, PowerPoint, Word)
Soft Skills
- Analytical mindset, curiosity, and problem solving skills
- Ability to work autonomously while being a collaborative team member
- Strong communication skills to engage with clients and internal teams
- Interest in business challenges, marketing strategy, and results-oriented thinking
- Positive attitude, resilience, and sense of humor
$2,800 - $2,800 a month
What We Offer:
At Ekimetrics, interns receive a monthly stipend of $2,800/mo.
Career development and growth opportunities
An emphasis on work-life balance
Annual seminars and retreats
Close knit team with friendly environment, bi-monthly team events and more
Work closely with senior analysts and managers to develop technical, analytical, and client-facing skills.
The Eki.Academy training catalogue: learning paths, solution- and role-specific programs, and Climate School environmental awareness courses.
Gain exposure to international clients, multiple industries, and projects with real business impact.
Opportunity to contribute to thought leadership, internal knowledge management, and innovation initiative.
Ekimetrics is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.