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Data Science Student Jobs in New York (NOW HIRING)

Efficiency Profile * 3rd-year student (end-of-studies internship) or 2nd-year student (2nd gap year internship) of engineering or business school, currently pursuing a degree in data science ...

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 ... The Company cannot offer employment to F-1 (student) visa holders. Bread Financial offers medical ...

We strive to be a place where our exceptionally talented faculty, staff, and students of all ... We have an exciting opportunity to join our team as a Data Science Analyst / Engineer. We are ...

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Data Science Student information

See New York salary details

$41K

$134.3K

$215K

How much do data science student jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data science student in New York is $134,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $148,800.00 per year, depending on experience, location, and employer.

What types of projects or hands-on experiences can I expect as a data science student?

As a Data Science Student, you can expect to work on a variety of data-driven projects such as analyzing real-world datasets, building predictive models, and creating data visualizations. These projects often involve using popular programming languages and tools to solve practical problems, either individually or as part of a team. Many programs encourage participation in hackathons, internships, or collaborative research to provide hands-on experience and deeper industry exposure. Gaining experience through these projects is crucial for building your portfolio and preparing for future roles in the data science field.

What jobs can you get if you study data science?

Data science graduates can pursue roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau.

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

To thrive as a Data Science Student, a solid understanding of statistics, programming (especially in Python or R), and data analysis concepts is required, often backed by enrollment in a relevant degree or certification program. Familiarity with tools such as Jupyter Notebook, SQL, and visualization libraries, as well as participation in online courses or bootcamps, is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills help students excel when tackling projects and collaborating with peers. These skills are essential for mastering complex concepts, contributing to team projects, and preparing for a successful transition into a data science career.

What is a data science student?

A Data Science Student job typically refers to an internship, part-time role, or research position where students apply their data science skills in a practical setting. These roles often involve working with real-world datasets, building models, analyzing trends, and assisting in data-driven decision-making. Students may use programming languages like Python or R, work with machine learning algorithms, and gain experience with tools such as SQL, Pandas, and TensorFlow. This hands-on experience helps bridge the gap between academic learning and industry applications, preparing students for full-time roles after graduation.

What are the most commonly searched types of Data Science Student jobs in New York? The most popular types of Data Science Student jobs in New York are:
What cities in New York are hiring for Data Science Student jobs? Cities in New York with the most Data Science Student job openings:
Infographic showing various Data Science Student job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $134,280 per year, or $64.6 per hour.

Part-time

Re-posted 20 days ago


Job description

Seeking Adjunct Professors to teach graduate courses in data science, analytics, machine learning, and related tools at Saint Peter's.

About Saint Peter's University

Saint Peter's is one of 27 Jesuit colleges and universities in the United States. Established in 1872, the University blends a unique learning experience shaped by rigorous academics, internships that provide real-world experience, community service, and a genuine, caring community that supports alumni long after graduation. Saint Peter's offers more than 50 undergraduate majors as well as master's level and doctorate programs

Saint Peter's University is committed to helping students achieve success not only with their academics, but also in their professional fields. As a result, we actively seek faculty members who are scholar-practitioners: professionals who are actively and successfully engaged in their field who additionally wish to help the next generation of professionals grow in their knowledge and expertise through education.
Duties:
Teaching graduate students in a specific field of expertise on a part-time basis in the following areas:
Big Data and Data Management
Data Mining
Machine Learning
Data Visualization
SQL
Predictive Analytics and Financial Modeling
Knowledge of Python andSAS
Tableau,IBMWatson and Excel preferred
Supervision of Capstone Consulting Engagement

Adjunct Rate: $750 - $1,000 per credit hour

Qualification Standards:

  • Actively engage students through frequent interaction that motivates them to succeed, and conveys a genuine energy and enthusiasm for their learning

  • Guide students in active collaboration and the application of their learning in problem- and project-based learning demonstrations.

  • Provide rich and regular constructive feedback, utilizing rubrics effectively for the assessment of student work, and acknowledging student accomplishments.

  • Demonstrate relevant and current subject-matter expertise, and help students connect concepts across their academic program.

  • Provide feedback to your program chair on possible curricular improvements.

  • Developing and managing the class syllabus and ensuring that the syllabus meets department and college standards

  • Planning and creating lectures, for both online and in-class discussions and assignments

  • Grading assigned papers, quizzes and exams

  • Assessing grades for students based on participation, performance in class, assignments, and examinations

  • Advising students on how to be successful in class

  • Staying updated on innovations and changes within their course field

Education:

  • A terminal degree (i.e., PhD,DBA, etc.) is preferred from an accredited institution of higher learning related to Data Science/Business Analytics, and a Master's is required.

Experience:

  • Professional experience in industry.

  • Higher Education teaching experience preferred.