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Data Science Internship Jobs in Paramus, NJ (NOW HIRING)

Starr

AI/ML Engineer

Manhattan, NY · On-site

Required : • Master's degree in Statistics, Data Science, Mathematics, Computer Science ... Preferred : • Internship or project experience in AI engineering, machine learning, or a related ...

Point72

Sector Analyst, MI-Data

New York, NY

One to five years of prior equity/investment/scientific research or consulting experience, including any relevant internship experience * Comfort with analyzing novel data and explaining concepts to ...

Point72

Sector Analyst, MI-Data

New York, NY · On-site

One to five years of prior equity/investment/scientific research or consulting experience, including any relevant internship experience * Comfort with analyzing novel data and explaining concepts to ...

Sciemo

Data Scientist

New York, NY · On-site

$150K - $300K/yr

ROLE As a Data Scientist, you will build the models that turn customer data into decisions ... internships, prior roles, or substantive project work. • Solid foundation in statistics and ...

Optimum

Intern - Data Engineer

Long Island City, NY

$35/hr

Bachelor's/Master's Degree in Data Science/Statistics/Computer Science/Computer Engineering ... internships, preferred * Experience scripting and deploying ETL jobs, cron jobs and code changes ...

Optimum

Intern - Data Engineer

Long Island City, NY · On-site

$35/hr

Bachelor's/Master's Degree in Data Science/Statistics/Computer Science/Computer Engineering ... internships, preferred * Experience scripting and deploying ETL jobs, cron jobs and code changes ...

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How much do data science internship jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data science internship in Paramus, NJ is $22.77, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $24.81 per hour, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on during a data science internship?

As a Data Science Intern, you may be involved in projects such as analyzing datasets to uncover trends, building and testing predictive models, or creating visual reports to help stakeholders understand key findings. Interns often support ongoing research, assist with data cleaning and preprocessing, and collaborate on team projects under the guidance of experienced data scientists. Depending on the company's focus, you might also contribute to deploying models or automating data pipelines. These tasks are designed to give you practical experience with real-world data challenges and help develop your technical and analytical skills.

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

To thrive as a Data Science Intern, you need a solid understanding of statistics, data analysis, and programming languages such as Python or R, often supported by progress towards a degree in a quantitative field. Familiarity with tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau, Power BI) is highly valued. Strong problem-solving skills, eagerness to learn, and effective communication are essential soft skills for this role. These abilities are crucial for drawing insights from data, collaborating with technical and non-technical colleagues, and contributing meaningfully to projects.

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Quantitative Researcher - Internship

WallStreetQuants

New York, NY • On-site

Internship

Re-posted 7 days ago

Job description

About the Internship

A New York based Hedge Fund is seeking an Undergraduate Quantitative Research Intern to join their quantitative research team. This internship is designed for undergraduate students interested in applying mathematics, statistics, programming, and data analysis to financial markets.

You will work alongside experienced researchers and traders to explore market data, test research ideas, and help evaluate systematic trading strategies. This is a hands-on opportunity to gain exposure to quantitative finance in a collaborative and intellectually challenging environment.

Requirements

Responsibilities
  • Analyze financial and market datasets using statistical methods.
  • Assist with research on systematic trading strategies.
  • Clean, organize, and validate large datasets.
  • Build simple models and backtests under researcher supervision.
  • Write Python code for data analysis, visualization, and research workflows.
  • Summarize findings clearly through charts, reports, or presentations.
  • Collaborate with researchers, traders, and engineers on research projects.
  • Learn how quantitative research ideas are developed, tested, and evaluated.
Qualifications
  • Currently pursuing a bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a related quantitative field.
  • Expected graduation date of 2028 or 2029.
  • Strong academic performance in quantitative coursework.
  • Programming experience in Python.
  • Familiarity with probability, statistics, linear algebra, or optimization.
  • Interest in financial markets, trading, investing, or data-driven decision-making.
  • Strong problem-solving skills and attention to detail.
  • Ability to communicate technical ideas clearly.
Preferred Qualifications
  • Experience with pandas, NumPy, matplotlib, scikit-learn, or similar tools.
  • Coursework or projects involving data analysis, machine learning, econometrics, or time series.
  • Familiarity with SQL or databases.
  • Participation in math, programming, trading, data science, or research competitions.
  • Prior internship, academic research, or independent project involving quantitative analysis.

Benefits

What You’ll Gain
  • Exposure to real-world quantitative research and systematic trading.
  • Mentorship from experienced researchers and traders.
  • Practical experience working with financial data.
  • Opportunity to contribute to meaningful research projects.
  • A deeper understanding of careers in quantitative finance.