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How much do remote data science internship fall 2025 jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote data science internship fall 2025 in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Data Science Intern, you generally need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by coursework or a degree in a quantitative field. Familiarity with data visualization tools (e.g., Tableau), machine learning libraries (such as scikit-learn), and version control systems like Git is commonly required. Excellent time management, communication skills, and a proactive attitude are vital soft skills for remote collaboration and independent problem-solving. These competencies are crucial to efficiently analyze data, contribute to team projects, and adapt to the unique challenges of remote work environments.

What can I expect from the mentorship and feedback process during a Remote Data Science Internship in Fall 2025?

During a Remote Data Science Internship, you'll typically be paired with an experienced data scientist or team lead who will provide regular mentorship and feedback. Expect weekly check-ins, code reviews, and opportunities to discuss project progress or challenges via video calls or collaborative platforms like Slack. Feedback is usually constructive, focusing on both technical skills and communication, which helps interns grow professionally and adapt to industry standards. The remote structure encourages proactive communication and self-motivation, but support is readily available to help you succeed.

What is a Remote Data Science Internship for Fall 2025?

A Remote Data Science Internship for Fall 2025 is a temporary, typically part-time or full-time position where students or recent graduates work virtually with organizations to gain practical experience in data science. Interns often work on real-world projects involving data analysis, machine learning, and data visualization under the supervision of experienced data scientists. The remote nature of the internship allows interns to work from anywhere, using digital collaboration tools to communicate and complete tasks. This opportunity helps interns build their technical skills, expand their professional network, and enhance their resumes for future job opportunities.

What is the difference between Remote Data Science Internship Fall 2025 vs Remote Data Analyst Internship Fall 2025?

AspectRemote Data Science Internship Fall 2025Remote Data Analyst Internship Fall 2025
Required SkillsProgramming (Python, R), statistics, machine learningData visualization, SQL, basic statistics
Work EnvironmentCollaborative teams, research projects, data modelingData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcareMarketing, retail, finance

The Remote Data Science Internship Fall 2025 focuses on advanced analytics, machine learning, and predictive modeling, requiring programming and statistical skills. In contrast, the Remote Data Analyst Internship emphasizes data visualization, reporting, and SQL skills. Both roles are remote, industry-specific, and serve data-driven organizations, but they differ in technical depth and daily tasks.

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Remote Data Science Internship Fall 2025 jobs near you
Infographic showing various Remote Data Science Internship Fall 2025 job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 84% Physical, and 16% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Business Intelligence UWEP Internship - Fall 2025

Business Intelligence UWEP Internship - Fall 2025

United Soccer League (USL)

San Jose, CA • Remote

$18 - $22.50/hr

Other

Posted 6 days ago

Job description

Job Title: Business Intelligence UWEP Position Type: Internship - For College Credit Hours Only  Semester: Fall 2025 Location: Remote 

Overview of the United Soccer League (USL)The United Soccer League (USL) is the heartbeat of American soccer. Impacting more than 200 communities across the United States, the USL is the first and only soccer organization in the United States to build a youth-to-professional pathway for both men and women within one ecosystem. That structure includes three professional leagues: Gainbridge Super League (women), USL Championship (men), and USL League One (men); two pre-professional leagues: USL League Two (men) and the USL W League (women); and two youth platforms: USL Academy and USL Youth. Authentic, vital, and exciting, the USL is dedicated to providing an inclusive and memorable soccer experience for players, fans, and communities across our growing "soccer nation."

Program Purpose

Under the direction and guidance of USL Executives and Leaders (mentors), the USL Work Experience Program (UWEP) provides students with the unique opportunity to gain practical sport management experience in a professional sports league setting. By working on various strategic projects and initiatives, UWEP participants will gain hands on experience with league staff as well as member teams.

Participants are tasked with and responsible for partnering within a specialized department but will interact with all league departments across the organization including business development, digital, club services, analytics, and more; with the ultimate goal of providing students with well-rounded practical work experience in sports. 

Position Purpose

Under the direction of the USL Technology & Data Strategy team, the Business Intelligence UWEP supports the department by assisting with maintaining and developing league-wide dashboards. The Participant will assume an integral role in the production of data analytics and distribution of the results.

Duties and Responsibilities

Specific duties include, but are not limited to:

  • Assist with the routine collection of data and updating of established Tableau dashboards.
  • Build Tableau dashboards to track performance in key metrics towards league goals and initiatives.
  • Identify opportunities to implement procedures for new data collection processes and/or data reporting.
  • Translate data across key revenue-driving verticals (e.g., ticketing, corporate partnerships, and consumer products) into targeted analyses, providing insights and recommendations to critical organizational stakeholders that lead to actionable business decisions. 
  • Generate new analysis of match performance data to unlock potential commercial value driven from our partnerships with Stats Perform and Spiideo.
  • Support ad-hoc requests for data; build reports, visualizations, executive dashboards, and presentations.
  • Act in a quality assurance role to ensure dashboards/reports are functioning correctly and to provide any recommendations for improvements.
  • Assist other departments and operational areas as requested to provide a well-rounded overview of working in sports.

Qualifications

  • Participants must be working towards a bachelor’s or master’s degree in a related field and/or training and must certify that they are able to receive college course credit from an accredited college or university for their participation.
  • Solid computer skills and proficiency with MS Word, Excel, PowerPoint, Outlook are a must.
  • Excellent verbal and written communication skills are required. 
  • Positive attitude and strong work ethic are a must. Must have a “team-first” mentality with an eagerness to learn. 
  • Should be extremely organized and detail oriented, with a focus on quality and consistency. 
  • While completing the USL Work Experience Program remotely, participants must have access to a computer or laptop with reliable internet connection. 
  • Familiarity of Tableau, or another data visualization software.
  • Familiarity of SQL, or other programming languages.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

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