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Data Science Remote Internship Jobs in Mahwah, NJ

Remote What You Get Out of the Internship At Stryker, we believe that developing the next ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Our full-stack Data Science Team uses Python for research and development. Our wide range of ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Contractor Location: Remote About the Role We are looking for experienced data scientists and ... Evaluate AI outputs across data science, statistics, ML, and quantitative problems. * Create expert ...

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Senior Data Scientist

New York, NY · On-site +1

$126K - $199K/yr

... Science, or related field plus 2 years of experience as a Data Scientist, Data Analytics Extern, Data Scientist Intern, or related occupation. * Must have prior experience, internship, project ...

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

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Data Science Remote Internship information

See Mahwah, NJ salary details

$12

$22

$42

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

As of Sep 7, 2026, the average hourly pay for data science remote internship in Mahwah, NJ is $22.59, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $24.62 per hour, depending on experience, location, and employer.

What is a data science remote internship?

A Data Science Remote Internship is a temporary, practical work experience opportunity in the field of data science that is completed remotely, usually from your own home or any location with internet access. Interns work on real-world projects involving data analysis, machine learning, and statistical modeling, often collaborating with teams through online communication tools. This type of internship is ideal for gaining hands-on experience, building a portfolio, and developing skills relevant to data science careers, all while offering flexibility and eliminating the need to relocate.

What are the key skills and qualifications needed to thrive as a data science remote intern?

To thrive as a Data Science Remote Intern, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or projects in data science or related fields. Familiarity with tools such as Jupyter Notebook, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow) is typically expected. Strong problem-solving abilities, self-motivation, and effective communication are essential soft skills for collaborating remotely and conveying analytical insights. These competencies ensure you can independently contribute to projects, adapt to remote workflows, and deliver actionable data-driven solutions.

What types of projects can I expect to work on during a remote data science internship, and how is project collaboration typically managed?

During a remote data science internship, you can expect to work on projects such as data cleaning, exploratory data analysis, model development, and visualization tasks that support ongoing business needs. Collaboration is commonly managed through virtual tools like Slack, Zoom, and project management platforms (e.g., Jira or Trello), with regular check-ins and code reviews from your mentor or team. Interns often participate in team meetings, contribute to group presentations, and use version control systems like Git to share code and receive feedback. This structure ensures you gain practical experience while staying connected with your team, even in a remote setting.

What is the difference between Data Science Remote Internship vs Data Analyst Remote Internship?

AspectData Science Remote InternshipData Analyst Remote Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Statistics, or related fieldsOften pursuing or recent graduate in Data Analysis, Business, or related fields
Work EnvironmentRemote, collaborative with data science teams, using programming languages like Python or RRemote, focusing on data interpretation, visualization, and reporting tools like Excel, SQL, Tableau
Employer & Industry UsageTech companies, finance, healthcare, startupsBusiness, marketing, finance, consulting firms

While both roles involve working with data remotely, Data Science Remote Internships focus on building predictive models and programming skills, whereas Data Analyst Remote Internships emphasize data interpretation, visualization, and reporting. The choice depends on your career goals and skill set.

What cities near Mahwah, NJ are hiring for Data Science Remote Internship jobs?

Cities near Mahwah, NJ with the most Data Science Remote Internship job openings:

Data Science Intern - Remote

Stryker

Florida, NY • On-site, Remote

$35/hr

Full-time

Posted 6 days ago


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

136th of 499 rated machine equipment manufacturers


Job description

Work Flexibility: Remote

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won't just observe - you'll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

Apply classroom knowledge and gain experience in a fast-paced and growing industry setting

Implement new ideas, be constantly challenged, and develop your skills

Network with key/high-level stakeholders and leaders of the business

Be a part of an innovative team and culture

Experience documenting complex processes and presenting them in a clear format

Who we want

Challengers. People who seek out the hard projects and work to find just the right solutions.

Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

Game changers. Persistent interns who will stop at nothing to live out Stryker's mission to make healthcare better.

  • Develop, analyze and model operational, economic, management, accounting and other organizational data. Recommends solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets, evaluates the potential impact of changes and reports on economic forecasts that affect the industry. This position requires knowledge that is acquired through experience, specialized education or training. The role has clearly defined procedures and tasks as well as defined guidelines to aid in decision making. Technical knowledge required is limited to the tasks performed in own discipline area and is considered basic. The tasks are generally routine and manual. The job is expected to follow detailed and defined rules / instructions and to make simple judgement in straightforward situations. Typically requires selecting between solutions already established. This job typically requires no experience.

  • The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division. The intern will achieve this through hands-on data exploration, advanced analytics, and collaboration with cross-functional teams to identify trends, forecast business outcomes, and support initiatives across Inventory, PLCM, and Customer Service. By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute to the development of scalable solutions that enhance business impact and support data-driven strategies.

Majors Targeted: Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics, Finance

What You Need

Currently pursuing a Bachelor's or Master's degree in a related field; must remain enrolled in a degree-seeking program after the internship.

Cumulative 3.0 GPA or above (verified at time of hire)

Must be legally authorized to work in the U.S. and not require sponsorship now or in the future.

Strong written and verbal communication skills, with proven ability to collaborate and build relationships

Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities

Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment.

$20 min hourly wage - $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Travel Percentage: 0%Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

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