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Data Science Intern Jobs in Basking Ridge, NJ (NOW HIRING)

Optimize Partners

Director, Data Science

New York, NY · Hybrid

As a manager of a world-class data science team within a fast-evolving financial landscape, the individual will have the exciting opportunityto direct a team of data scientists on a variety of ...

Novartis

Director, Data Science

East Hanover, NJ · On-site +1

$194K - $312K/yr

Reporting into the ED, AI and Innovation Data Science, this role is crucial in leading the development and deployment of advanced AI solutions that enhance operational efficiency and drive strategic ...

Omnicom Media US PHD

Director, Data Science

New York, NY · On-site

$120K - $175K/yr

PHD Data Scientists deliver analytic solutions across a wide variety of client applications and help brands to connect better with the customers. They process and integrate big data in data clean ...

Prior Labs

Applied Scientist, Data Science

New York, NY · On-site

About The Role You'll join our data science team working with an entirely new class of AI models. As a Data Scientist at Prior Labs, you'll be the critical link between our foundation models and real ...

Inmar

Director, Data Science (MarTech)

New York, NY

The Director, Data (MarTech) is responsible for applying data exploration and visualization, machine learning and artificial intelligence, and other data science techniques to explore, create, and ...

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Data Science Intern information

See Basking Ridge, NJ salary details

$12

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How much do data science intern jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for data science intern in Basking Ridge, NJ is $23.19, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $25.29 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on as a Data Science Intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What does a Data Science Intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What are the key skills and qualifications needed to thrive as a Data Science Intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.
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Data Science Intern jobs near you

Director, Data Science

Optimize Partners

New York, NY • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

Optimize Partners provides IT staffing solutions to tech startups and Fortune 500 companies in the New York metro area, and beyond. One of our clients, a fast growing FinTech company that provides an online marketplace for commercial loans to small businesses, is looking to hire a full-time Director, Data Science to lead, motivate, and manage a team of 7 data scientists, including multiple data projects.


Responsibilities:

  • As a manager of a world-class data science team within a fast-evolving financial landscape, the individual will have the exciting opportunityto direct a team of data scientists on a variety of complex data projects, and also work externally with bank and other financial services partners.
  • Manage the data science projects in an Agile environment, provide coaching and mentorship to team members as needed
  • Establish Data Science role models and best practices in the organization
  • Communicating data driven insights to business audiences through simple visualization
  • Make data driven recommendations to improve operational efficiencies in underwriting, marketing, and sales


Qualifications:

  • 4-year degree; advanced degree or post-doctoral preferred.
  • At least 3 years of experience in managing a team of Data Scientists.
  • Overall 10+ years of experience with data science, credit risk management experience is a definite plus
  • 2-4 years of credit risk modeling experience
  • 2+ years of experience with Python programming
  • Extensive, hands-on experience with relevant methodologies in classical statistics, big data, supervised and unsupervised learning models with emphasis on communicating the analysis to business audiences through visual and other methods.
  • Prior experience to creating and allocating relevant individual workstreams to data science team members and be able to synthesize team efforts and prepare succinct presentations to C-level and to the Credit Risk Committee.
  • Ability to interact effectively and independently with other functional units, such as underwriting, marketing, sales, and software developers to address their analytical needs in a time-sensitive environment.
  • Strong conceptual thinking skills, highly motivated, outcome-focused, dynamic, and capable of guiding and inspiring their team to perform at a high level.


What to Expect, If Hired

  • Health, Vision and Dental Insurance
  • 401(k) retirement savings plan, with Employer match
  • Unlimited Paid Time Off
  • Hybrid work location

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