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Internship Opt Cpt Data Analytics Jobs in Edison, NJ

Monitise

Business Data Analyst

Berkeley Heights, NJ · On-site

$110K - $186K/yr

Bachelor's degree in business, finance, data analytics, computer science, or a related field, or ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

Judge Group, Inc.

Data Analytics- II

Bridgewater, NJ · On-site

$50 - $52/hr

Our client is currently seeking a Data Analytics Analyst/Engineer- II Working Model: Hybrid - 3 ... Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.

Fusemachines

Lead Data Scientist

New York, NY · Remote

$110K - $140K/yr

The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine ... Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT). Please ...

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All JobsOpt Cpt Data Analytics JobsInternship Opt Cpt Data Analytics JobsInternship Opt Cpt Data Analytics Jobs in Edison, NJ

Internship Opt Cpt Data Analytics information

See Edison, NJ salary details

$12

$23

$43

How much do internship opt cpt data analytics jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for internship opt cpt data analytics in Edison, NJ is $23.30, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $25.38 per hour, depending on experience, location, and employer.

What is an Internship OPT CPT Data Analytics?

An Internship OPT CPT Data Analytics position is a temporary role typically offered to international students in the U.S. who are studying data analytics and are eligible to work under Optional Practical Training (OPT) or Curricular Practical Training (CPT) programs. These internships provide practical, hands-on experience in analyzing data, using statistical tools, and solving real-world business problems. The role helps students apply classroom knowledge, gain industry exposure, and improve their chances of securing full-time employment after graduation. OPT and CPT allow students to work legally while completing their studies or shortly after graduating.

What are the key skills and qualifications needed to thrive as an Internship OPT CPT Data Analytics?

To thrive in an Internship OPT CPT Data Analytics role, you generally need a background in statistics, mathematics, or computer science, along with strong analytical and problem-solving abilities. Familiarity with data analysis tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI is typically expected. Strong communication, attention to detail, and teamwork skills help interns present findings effectively and collaborate with team members. These skills ensure interns can extract actionable insights from data and contribute meaningfully to business decisions during their internship.

What types of projects can I expect to work on during an Internship OPT CPT Data Analytics?

As an intern in Data Analytics under OPT/CPT, you'll typically be involved in projects such as data cleaning, visualization, and exploratory analysis to support business decisions. You may work with tools like Excel, Python, or SQL to analyze large datasets, generate reports, and present insights to your team. Collaboration is common, so you’ll often work alongside data scientists, business analysts, and other interns, gaining exposure to real-world data challenges. This hands-on experience is designed to help you build practical skills and understand the workflow of a data-driven organization.

What is the difference between Internship Opt Cpt Data Analytics vs Data Analyst?

AspectInternship Opt Cpt Data AnalyticsData Analyst
Required CredentialsTypically pursuing or completed relevant coursework, possibly some certificationsBachelor's degree in Data Science, Statistics, or related field; certifications like SQL or Tableau are common
Work EnvironmentInternship setting, often part-time or temporary, in corporate or consulting firmsFull-time professional role in various industries, including finance, healthcare, and tech
Employer & Industry UsageUsed by employers to evaluate potential future employees; common in tech, finance, marketingEstablished role for analyzing data, generating reports, and supporting decision-making across industries

In summary, Internship Opt Cpt Data Analytics is an entry-level internship designed for students or recent graduates gaining practical experience, while a Data Analyst is a full-time professional role requiring more experience and skills. The internship offers a pathway to a Data Analyst position, which involves more responsibilities and a broader scope of data analysis tasks.

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Internship Opt Cpt Data Analytics jobs near you
Infographic showing various Internship Opt Cpt Data Analytics job openings in Edison, NJ as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $48,459 per year, or $23.3 per hour.

Sr Data Scientist with AI(FT role- NO OPT/CPT)

Apetan Consulting llc

Parsippany, NJ • Remote

$80 - $150/hr

Contractor

Re-posted 25 days ago

Job description

Position: Sr Data Scientist with AI((NO OPT/CPT)
Location: NJ – Remote
Type – Full Time
Job Description-:

  • Data Collection & Cleaning
  • Gather structured/unstructured data from databases, APIs, or external sources, then clean and preprocess it for analysis.
  • Exploratory Data Analysis (EDA)
  • Identify patterns, trends, and anomalies using statistical techniques and visualization tools.
  • Model Development
  • Build and train machine learning or AI models (e.g., regression, classification, clustering, deep learning).
  • AI/ML Implementation
  • Apply techniques from Machine Learning and Artificial Intelligence to solve business problems like prediction, recommendation, or automation.
  • Feature Engineering
  • Transform raw data into meaningful features that improve model performance.
  • Model Evaluation & Optimization
  • Test models using metrics (accuracy, precision, recall, etc.) and improve them.
  • Deployment & MonitoringWork with engineers to deploy models into production and monitor performance over time.
  • Communication
  • Translate complex results into actionable insights for stakeholders using dashboards, reports, or presentations.

Key Skills Required

Technical Skills

Programming: Python, R, SQL

Libraries/Frameworks: TensorFlow, PyTorch, Scikit-learn

Data Visualization: Matplotlib, Seaborn, Power BI, Tableau

Big Data Tools: Spark, Hadoop

Knowledge of Statistics and Linear Algebra

AI-Specific Skills

Deep learning, NLP, computer vision

Understanding of neural networks and optimization techniques

Familiarity with model deployment (MLOps basics)

Education & Background

Bachelor’s or Master’s in fields like:

Computer Science

Data Science

Mathematics / Statistics

Engineering

Certifications or hands-on projects in AI/ML are highly valued.