ZipRecruiter

Log In

1

Data Science Fall Internship Jobs in Ridgewood, NJ

AvePoint

Senior Product Data Scientist

Jersey City, NJ · On-site

$120K - $180K/yr

Advanced degree in Data Science, Statistics, Computer Science, or related field. * 4+ years of ... We welcome compensation discussions-apply even if your expectations fall outside the range. Any ...

Adonis Technology, Inc

Senior Data Scientist

New York, NY · On-site

$225K - $250K/yr

Eight plus years of experience in a data science or applied ML role * Demonstrated track record of ... hires fall near the middle of the range. In addition to base salary, you'll receive meaningful ...

next page

Showing results 1-20

All JobsData Science Fall JobsData Science Fall Internship JobsData Science Fall Internship Jobs in Ridgewood, NJ

Data Science Fall Internship information

See Ridgewood, NJ salary details

$12

$22

$42

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

As of Jul 14, 2026, the average hourly pay for data science fall internship in Ridgewood, 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 can I expect to work on during a Data Science Fall Internship?

As a Data Science Fall Intern, you can expect to work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using real-world datasets. Interns often collaborate with full-time data scientists and cross-functional teams to solve business problems, such as improving user engagement, optimizing processes, or generating actionable insights from large data sets. You may also participate in regular team meetings, present findings, and contribute to ongoing research or tool development. This hands-on experience helps you build both technical and communication skills within a dynamic and supportive environment.

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

To thrive as a Data Science Fall Intern, you generally need a solid foundation in statistics, programming (often Python or R), and data analysis, typically supported by coursework or experience in computer science, mathematics, or related fields. Familiarity with tools like pandas, scikit-learn, SQL, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data insights and collaborate with team members. These competencies are essential for producing actionable analyses and contributing meaningfully to data-driven projects in a short-term, fast-paced internship environment.

What is a Data Science Fall Internship?

A Data Science Fall Internship is a temporary, structured work experience offered by organizations during the fall semester, designed for students or recent graduates interested in data science. Interns typically work on real-world projects involving data collection, analysis, machine learning, and visualization under the guidance of experienced data scientists. This internship provides hands-on experience, exposure to industry tools and techniques, and helps participants build valuable skills for future careers in data science. It also offers networking opportunities and a chance to explore potential career paths within the field.

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

AspectData Science Fall InternshipData Analyst Intern
Required CredentialsEnrolled in or recent graduate of a related field (e.g., Data Science, Computer Science, Statistics)Enrolled in or recent graduate of a related field (e.g., Data Analysis, Business, Statistics)
Work EnvironmentTech companies, startups, research labs, often collaborative and project-basedBusiness firms, consulting agencies, often focused on reporting and data visualization
Employer & Industry UsageUsed by tech firms, finance, healthcare, and academia for entry-level talentCommon in corporate, marketing, and consulting sectors for supporting decision-making

The Data Science Fall Internship and Data Analyst Intern roles share similarities in required education and work environment but differ in focus. Data Science internships emphasize machine learning, programming, and statistical modeling, while Data Analyst internships focus more on data visualization, reporting, and business insights. Both are valuable entry points into data careers, often overlapping in skills but serving different industry needs.

What are popular job titles related to Data Science Fall Internship jobs in Ridgewood, NJ? For Data Science Fall Internship jobs in Ridgewood, NJ, the most frequently searched job titles are:
What cities near Ridgewood, NJ are hiring for Data Science Fall Internship jobs? Cities near Ridgewood, NJ with the most Data Science Fall Internship job openings:
Data Science Fall Internship jobs near you
Infographic showing various Data Science Fall Internship job openings in Ridgewood, NJ as of July 2026, with employment types broken down into 36% Internship, 46% Full Time, and 18% Part Time. Highlights an 91% In-person, and 9% Hybrid job distribution, with an average salary of $47,361 per year, or $22.8 per hour.
Vivrelle 2026 Fall Internship (Sept - Dec)

Vivrelle 2026 Fall Internship (Sept - Dec)

Vivrelle

New York, NY • On-site

$17/hr

Internship

Re-posted 6 days ago

Job description

Vivrelle is seeking enthusiastic Interns to play a critical role with our continued growth. You will work between our Showroom, Marketing, or Operations teams: These roles are vital to supporting our large and growing member community!
This internship will teach you about sales, logistics, social media and/or customer service competencies. Ultimately, you should be prepared to enter a fast paced work environment as a pivotal part of the team with a can-do attitude and professionalism.
Our interns join us in 3 month rotations. All of our interns work in-person at our Park Ave Showroom. We're dedicated to creating a schedule that does not interfere with your class schedule, but will expect a commitment of 20 hours a week.
As an Intern, your responsibilities may include...
  • Assist in maintaining the packaging room and showroom by organizing and tidying up
  • Support packaging needs by learning and assisting in the preparation of orders
  • Gain hands-on experience in packaging procedures and quality control measures
  • Aid in the upkeep of the showroom's appearance to understand the importance of presentation and customer experience
  • Assist in monitoring and organizing inventory levels
  • Learn the basics of inventory handling by helping to arrange inventory items in designated locations
  • Observe operational processes closely to learn how to improve efficiency in packaging, showroom organization, and inventory management
  • Contribute ideas and suggestions to improve workflow based on observations and discussions with the team
  • Collaborate with team members, offering support where needed, and learning from experienced colleagues to understand teamwork dynamics
  • Manage administrative tasks for our marketing team
  • Create content for our social media pages
  • Administrative assistance across the office as needed

Your skills and qualifications include...
  • Current undergraduate student
  • Availability to maintain a set schedule of 20-25 hours a week, in NYC, Monday through Friday
  • Organized and detail-oriented
  • Customer-focused
  • Absolute can-do, positive attitude towards tackling challenges and opportunities
  • Willing to roll up your sleeves and do what is necessary to get the job done
  • Excitement for Vivrelle

$17 - $17 an hour
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply