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Internship Python Data Science Jobs in Princeton, NJ

Mercor

Data Science Expert - AI Evaluation

New York, NY · Remote

$120 - $170/hr

Data Science Expert Type: Contract Compensation: $120-$170/hour Location: Remote Role ... Deep fluency in experiment design and A/B testing, metric definition, SQL/Python analysis, and ...

New

Citigroup, Inc.

VP Marketing Data Science

New York, NY · On-site

Proficiency in programming languages such as Python and R, and experience with relevant data science libraries and frameworks. * Experience with big data technologies, cloud platforms, and data ...

American Express

Mgr-Data Science

New York, NY · On-site

This role sits within Finance Data Science and Analytics, a team focused on developing innovative ... Expertise in an analytical language (Python preferred), and experience with databases (Google ...

PVH

Manager, Data Science- PVH Corp.

New York, NY · On-site

This role owns the modeling strategy, data science roadmap, and decisionsupport frameworks that ... Build scalable data pipelines and modeling workflows using SQL, Python/R, Spark, and cloudbased or ...

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

Analytical & Data Science Expertise * Strong statistical analysis skills with hands-on experience using Python data science stack (pandas, NumPy, scikit-learn) * Experience with A/B testing, causal ...

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All JobsPython Data Science JobsInternship Python Data Science JobsInternship Python Data Science Jobs in Princeton, NJ

Internship Python Data Science information

See Princeton, NJ salary details

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How much do internship python data science jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for internship python data science in Princeton, NJ is $23.59, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $25.72 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an internship Python data science?

To thrive as an Internship Python Data Science, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by coursework or academic projects in data science or related fields. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, and Jupyter Notebooks is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication are valuable soft skills for standing out in this role. These skills ensure interns can analyze data, contribute to team projects, and grow quickly in a fast-evolving technical environment.

What is the difference between Internship Python Data Science vs Data Analyst Intern?

AspectInternship Python Data ScienceData Analyst Intern
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization tools
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical TasksData cleaning, modeling, predictive analysisData reporting, dashboard creation, trend analysis

Internship Python Data Science and Data Analyst Intern roles share common skills like SQL and data handling but differ mainly in focus. Data Science internships emphasize programming, modeling, and machine learning, while Data Analyst internships focus on data visualization and reporting. Both are valuable entry points in data careers, often found in similar industries and work environments.

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

As a Python Data Science intern, you will often work on projects involving data cleaning, exploratory data analysis, model building, and visualization using Python libraries like pandas, NumPy, and scikit-learn. You may assist in preparing datasets, automating data pipelines, or supporting senior data scientists with real-world business problems such as customer analytics or predictive modeling. Collaboration with both technical and non-technical teams is common, providing valuable exposure to the end-to-end data science workflow and opportunities to present your findings.

What is an internship Python data science?

An Internship Python Data Science position is an entry-level role designed for students or recent graduates to gain practical experience in data science using Python. Interns typically work under the supervision of experienced data scientists, assisting with data analysis, cleaning, visualization, and sometimes building machine learning models. They may also collaborate on real-world projects, learning to use tools and libraries like pandas, NumPy, scikit-learn, and Jupyter Notebook. This internship helps individuals develop technical and analytical skills while building a foundation for a career in data science.
What are popular job titles related to Internship Python Data Science jobs in Princeton, NJ? For Internship Python Data Science jobs in Princeton, NJ, the most frequently searched job titles are:
What job categories do people searching Internship Python Data Science jobs in Princeton, NJ look for? The top searched job categories for Internship Python Data Science jobs in Princeton, NJ are:
Internship Python Data Science jobs near you

Data Science Expert - AI Evaluation

Mercor

New York, NY • Remote

$120 - $170/hr

Full-time

Posted 3 days ago

New

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Data Science Expert
Type: Contract
Compensation: $120–$170/hour
Location: Remote

Role Responsibilities

  • Design precise, task-specific grading criteria for real-world data science deliverables such as analyses, models, dashboards, and experiment readouts.
  • Score AI-generated and human work samples against criteria with detailed written justifications for every score.
  • Apply consistent, evidence-based judgment to ensure scores are reproducible and defensible.
  • Incorporate structured feedback from senior reviewers and iterate quickly on your work.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • 5+ years of professional data science experience in industry.
  • Background in business operations, product, or growth data science at top-tier technology companies.
  • Deep fluency in experiment design and A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholders.
  • Exceptionally strong written communication.
  • Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers.

Preferred

  • Prior experience with AI training, evaluation, or human-data projects.

Application Process (Takes 20–30 mins to complete)

  • Submit your resume or relevant technical background to get started.
  • Qualified applicants may be asked to complete a brief technical assessment or submit additional information.

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.