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Remote Data Science Intern Jobs in Wisconsin (NOW HIRING)

This is a remote position with periodic on-site presence required. Candidates must live and work in ... Data Science, or a related quantitative field. • Successful completion of one or more CAS ...

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

Remote bevorzugt, gelegentliche Vor-Ort-Termine nach Absprache 400 - 450 a day Aufgaben Aufbau und Betrieb von End-to-End Data-Science- und ML-Workflows Implementierung von ML-Orchestrierungslosungen ...

Remote (WI or MN based candidates preferred) REPORTS TO: Quality Systems Manager DEPARTMENT ... B.S. in Food Science, Biology, Chemistry, Computer Science, Business, Statistics, or a related ...

Remote (WI or MN based candidates preferred) REPORTS TO: Quality Systems Manager DEPARTMENT ... B.S. in Food Science, Biology, Chemistry, Computer Science, Business, Statistics, or a related ...

REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Open for candidates in Canada as well as the ... Bachelor's or Master's Degree in Computer Science, Data Science, Aerospace Engineering, or a ...

Data Entry Operator

Madison, WI · On-site +1

$18/hr

It is anticipated that this position will be remote and requires work be performed at an offsite ... School of Medicine and Public Health, Department of Ophthalmology and Visual Sciences, Wisconsin ...

Showing results 41-60

Remote Data Science Intern information

What is a remote data science intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

What types of projects does a remote data science intern typically work on, and how do they collaborate with their team?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

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

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

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 need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.
What are the most commonly searched types of Remote Data Science jobs in Wisconsin? The most popular types of Remote Data Science jobs in Wisconsin are:
What are popular job titles related to Remote Data Science Intern jobs in Wisconsin? For Remote Data Science Intern jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Intern jobs in Wisconsin look for? The top searched job categories for Remote Data Science Intern jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Data Science Intern jobs? Cities in Wisconsin with the most Remote Data Science Intern job openings:
Infographic showing various Remote Data Science Intern job openings in Wisconsin as of August 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 100% Remote job distribution.

IRP Research Analyst - BFY

University of Wisconsin-Madison

Madison, WI • On-site, Remote

$55K - $70K/yr

Full-time

Retirement, PTO

Posted 22 days ago


University Of Wisconsin-Madison rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

125th of 617 rated colleges and universities


Job description

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.
Job Category:
Academic Staff
Employment Type:
Regular
Job Profile:
Research Analyst I
Job Summary:
The Baby's First Years (BFY) study is a first-of-its-kind randomized controlled trial focused on understanding the causal impact of providing an unconditional cash transfer to low-income mothers during their children's early years. Now entering its eighth year, the BFY team seeks a research analyst to join our interdisciplinary team. Research analysts will use a variety of advanced statistical methods common in the social sciences to analyze study data, including longitudinal survey data, administrative data, and direct child assessment data. This position will take the lead on conducting analyses based on team needs and requests as well as managing documentation for the study public data release, publications, and presentations.
In addition to being an integral part of the BFY study, the research analyst will join the team at the Institute for Research on Poverty (IRP). IRP currently serves as the sole federally funded research center on poverty and economic mobility, dedicated to producing and disseminating rigorous evidence to inform policy.
The work schedule is partially remote with the expectation to work in office 2 days per week.
The initial term of this appointment is 2 years and has the possibility to be extended or converted to an ongoing appointment based on need and/or funding.
Key Job Responsibilities:
  • Serves as an initial point of contact for individuals and groups providing basic information about result analysis and methodologies, answers questions as needed
  • Maintains organization of research records and responds to data requests and inquiries
  • Prepares reports and manuscripts and assists with the development and presentation of materials through various communication platforms
  • Analyzes data and summarizes research results for a defined research area or study by utilizing established processes

Department:
College of Letters & Science, Institute for Research on Poverty (IRP)
Compensation:
The expected salary range for this position is $55,000 up to $70,000 for highly experienced candidates. Actual pay within this range will depend on experience and qualifications.
Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. Please review the summary of benefits for more information.
Required Qualifications:
  • Experience cleaning and merging quantitative datasets for research purposes, including survey and administrative data
  • Experience using a variety of advanced social science statistical methods to analyze data
  • Proficiency using statistical software to manipulate and analyze data using advanced statistical research methods
  • Strong written and verbal communication skills
  • Ability to convey complex quantitative statistical information to a variety of audiences

Preferred Qualifications:
  • Knowledge of fields of public policy, poverty, and/or child development
  • Some familiarity with Linux systems for handling files
  • Experience creating data visualizations for presentation
  • Proficiency in using STATA software to analyze data

Education:
Bachelor's degree, required
Preference in social science, public/population health, data science/analytics, or related field.
Master's Degree, preferred
Preference in social science, public/population health, data science/analytics, or related field.
How to Apply:
For the best experience completing your application, we recommend using Chrome or Firefox as your web browser.
To apply for this position, select either "I am a current employee" or "I am not a current employee" under Apply Now. You will then be prompted to upload your application materials.
Important: The application has only one attachment field. Upload the following documents in that field, either as a single combined file or as multiple files in the same upload area. All listed application materials must be submitted for your application to be considered. Please submit only the materials specified; additional materials will not be reviewed.
To be considered for this recruitment, you must upload:
-Resume
-Cover Letter
The materials should address your experience relating to the qualifications referenced above. Specifically, applicants should describe why they are interested in this position and how their previous experience makes them qualified.
Please note that successful applicants are responsible for ensuring their eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without need of employer sponsorship) on or before the effective date of appointment.
Contact Information:
Katherine Magnuson, kmagnuson@wisc.edu
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.
Institutional Statement on Diversity:
Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.
The University of Wisconsin-Madison is an Equal Opportunity Employer.
Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.
To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you.
Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.

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About University of Wisconsin

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The University of Wisconsin, based in Madison, WI, US, functions in the educational industry and is a renowned and respected institution for higher education. Its official website is wisc.edu. Established in 1848, this public research university is recognized globally for its innovative approach to education, research, creativity, and public service. It embodies a strong commitment to academic freedom and academic excellence. As a major contributor to the Wisconsin Idea, it aims to accomplish its mission of generating well-rounded individuals who will contribute substantially to society, the local community, and the global economy.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Madison, WI, US

Year founded

2005