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Data Science Intern Jobs in Rutherford, NJ (NOW HIRING)

S&P Global

Vice President, Data Science

New York, NY · On-site

$177K - $350K/yr

  • Medical

  • Retirement

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate. This ...

Omnicom

Associate Director, Data Science

New York, NY · On-site

$64K - $65K/yr

Data Science and AI PHD is a global communications planning and media buying agency network delivering smart strategic thinking and creative innovation for the world's leading brands. Brilliant media ...

S&P Global

Vice President, Data Science

New York, NY

$177K - $350K/yr

  • Medical

  • Retirement

Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment.

Spgi

Vice President, Data Science

New York, NY

$177K - $350K/yr

  • Medical

  • Retirement

Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment.

S&P Global

Vice President, Data Science

Manhattan, NY · On-site

$177K - $350K/yr

  • Medical

  • Retirement

Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment.

PepsiCo

Data Science Associate Manager

Manhattan, NY · On-site

PepsiCo is seeking a Data Science Manager to lead a high-performing team delivering scalable analytics and machine learning solutions. The role involves driving the technical vision, execution, and ...

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All JobsData Science Intern JobsData Science Intern Jobs in Rutherford, NJ

Data Science Intern information

See Rutherford, NJ salary details

$12

$22

$42

How much do data science intern jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for data science intern in Rutherford, NJ is $22.94, according to ZipRecruiter salary data. Most workers in this role earn between $17.64 and $25.00 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.

What are the most commonly searched types of Data Science jobs in Rutherford, NJ?

The most popular types of Data Science jobs in Rutherford, NJ are:

What job categories do people searching Data Science Intern jobs in Rutherford, NJ look for?

The top searched job categories for Data Science Intern jobs in Rutherford, NJ are:

What cities near Rutherford, NJ are hiring for Data Science Intern jobs?

Cities near Rutherford, NJ with the most Data Science Intern job openings:

Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Rutherford, NJ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $47,719 per year, or $22.9 per hour.

Data Science Growth Leader

Sky Consulting Inc

Jersey City, NJ • On-site

Other

Re-posted 5 days ago

Job description

We are seeking a dynamic and experienced Data Science Growth Leader to join our team. This role will co-own business development and growth initiatives from a technical perspective, designing strategy & supporting the execution of GTM efforts for our end-to-end enterprise-grade data science technology capabilities & solutions in AI, ML & AI Engineering across industries & domains. The ideal candidate will have a strong focus on delivering business outcomes for our customers using Data Science and possess a deep & fundamental understanding of DS methodologies and AI technology from experience in successfully delivering such business outcomes in their own careers.

Key Responsibilities

Business Development & Growth:

  • Identify and pursue new business opportunities in the AI & ML space.
  • Develop and execute strategies to expand our client base and market presence.
  • Build and maintain strong relationships with key stakeholders and clients.
  • Collaborate with sales and marketing teams to create compelling value propositions and proposals.

Technical Leadership:

  • Lead the design, development, and deployment of enterprise-level data science solutions.
  • Ensure solutions are scalable, robust, and aligned with business objectives.
  • Stay abreast of the latest advancements in AI & ML technologies and integrate them into our offerings.
  • Mentor and guide a team of data scientists and engineers to achieve project goals.

Strategic Planning:

  • Develop and implement a strategic roadmap for data science initiatives.
  • Align data science projects with overall business strategy and client needs.
  • Drive innovation and continuous improvement in data science methodologies and practices.

Client Engagement:

  • Work closely with clients to understand their business challenges and requirements.
  • Translate client needs into actionable data science solutions.
  • Present findings, insights, and recommendations to clients in a clear and compelling manner.
Requirements

Advanced degree (Ph.D. or Master's) in Data Science, Computer Science, Statistics, or a related field.

18-20 years of extensive experience in the Data Science space.

Proven experience in a leadership role within the AI & ML services industry.

Strong track record of driving business development and growth initiatives.

Extensive experience in developing and deploying enterprise-level data science solutions.

Excellent communication and interpersonal skills.

Ability to work collaboratively in a fast-paced, dynamic environment.

Preferred Skills:

Experience with cloud platforms (AWS, Azure, Google Cloud).

Proficiency in programming languages such as Python, R, and SQL.

Familiarity with big data technologies (Hadoop, Spark).

Strong analytical and problem-solving skills.