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Remote Data Science Jobs in Madison, WI (NOW HIRING)

Scientist I

Madison, WI · On-site +1

$60K - $80K/yr

This position is in-person and eligible for a partially remote schedule. Key Job Responsibilities ... Training and/or published research in data science & machine learning * Domain expertise in high ...

Scientist

Madison, WI · On-site +1

$72K/yr

... remote sensing products, weather/climate model outputs, hydrologic science, data science, and stochastic modeling. Preferred Qualifications: A successful candidate will have background and ...

Data Analyst

Madison, WI · On-site +1

$100K - $115K/yr

This is a remote position. * Candidates must live and work in Wisconsin. * Requires eligibility to ... Computer Science, Information Technology, or related field, or an equivalent combination of ...

Data Analyst

Madison, WI · Remote

$100K - $115K/yr

This is a remote position. * Candidates must live and work in Wisconsin. * Requires eligibility to ... Bachelor's Degree in Computer Science, Information Technology, or related field, or an equivalent ...

Data Analyst

Madison, WI · Remote

$100K - $115K/yr

This is a remote position. * Candidate must live and work in Wisconsin. * Requires eligibility to ... Bachelor's Degree in Computer Science, Information Technology, or related field, or an equivalent ...

ServiceNow IRM Developer (remote)

Arlington, WI · Remote

$55.25 - $76/hr

... data exchange. * Ensure compliance by participating in code reviews, maintaining version control ... Bachelor's degree in Computer Science, Information Systems, or related field. * 3-5+ years of ...

... and data SaaS products with triple-digit growth rates. We're a fully remote team of 100+ spread ... and data science teams to bring solutions to market. Through deep customer engagement with ...

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Showing results 1-20

Remote Data Science information

See Madison, WI salary details

$22.8K

$101.5K

$193.7K

How much do remote data science jobs pay per year?

As of Jun 21, 2026, the average yearly pay for remote data science in Madison, WI is $101,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,431.00 and $140,787.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.
What are the most commonly searched types of Data Science jobs in Madison, WI? The most popular types of Data Science jobs in Madison, WI are:
What are popular job titles related to Remote Data Science jobs in Madison, WI? For Remote Data Science jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Madison, WI look for? The top searched job categories for Remote Data Science jobs in Madison, WI are:
What cities near Madison, WI are hiring for Remote Data Science jobs? Cities near Madison, WI with the most Remote Data Science job openings:
Clinical and Data Scientist

Clinical and Data Scientist

University of Wisconsin-Madison

Madison, WI • On-site, Remote

Full-time

Retirement, PTO

Posted 12 days ago


University Of Wisconsin-Madison rating

8.2

Company rating: 8.2 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

109th of 538 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:
Terminal (Fixed Term)
Job Profile:
Scientist II
Job Summary:
The UW Center for Tobacco Research and Intervention (UW-CTRI) is seeking a Scientist with expertise in data science and addiction science to join the UW-CTRI Research Program. The Scientist will work with Jesse Kaye, PhD, and other UW-CTRI investigators to support programs of research using diverse methodologies to advance tobacco use treatment development, evaluation, dissemination, and implementation. The Scientist will primarily support a program of tobacco treatment research to use machine learning models to develop personalized prospective risk predictions and interventions to reduce smoking lapse and relapse likelihood by providing the right treatment, for the right person, at the right time. This position will serve as a data science subject matter expert to enhance UW-CTRI's capacity to use sophisticated interpretable machine learning models and other advanced analytic techniques to understand tobacco dependence and treatment development. The Scientist may contribute clinical research projects to across the translational spectrum of addiction and behavioral science (e.g., clinical trials, pharmacotherapy, digital therapeutics, precision medicine, dissemination and implementation science). The Scientist will contribute to the development of new team science projects (e.g., grant/funding applications) and have the opportunity to pursue independent funding opportunities to develop their independent program of research.
Additional responsibilities include: Identifies research problems, designs research methodologies, performs research, prepares data sets and analyses them using data science techniques, presents results for presentation to professional organizations or for scholarly publications to help advance research.
  • This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location.
  • Terminal, 24 month appointment
  • This position has the possibility to be extended or converted to an ongoing appointment based on need and/or funding.
  • This position has been identified as a position of trust with access to vulnerable populations. The selected candidate will be required to pass an initial caregiver check to be eligible for employment under the Wisconsin Caregiver Law and then every two years.

Candidates who demonstrate the following knowledge, skills, and abilities will be given first consideration:
  • Strong attention to detail
  • Initiative and problem solving
  • Excellent written and verbal communication skills, including the ability to write and present research analysis and findings clearly and concisely
  • Knowledge and experience in maintaining confidentiality of research subjects and information in accordance with Institutional Review Board (IRB) requirements
  • Understanding of addictive behavior and evidence-based treatments
  • Strong understanding of conceptual and practical implementation of predictive machine learning algorithms

Key Job Responsibilities:
  • Collects and analyzes complex research data, conducts experiments and interviews, and documents results according to established policies and procedures under general supervision
  • Serves as a unit subject matter expert and liaison to internal and external stakeholders providing advanced level information and representing the interests of a specialized research area
  • Identifies research problems and develops complex research methodologies and procedures
  • May supervise the day-to-day activities of a research unit as needed
  • Writes or assists in developing grant applications and proposals to secure research funding
  • Attends and assists with the facilitation of scholarly events and presentations in support of continued professional development and the dissemination of research information
  • Conducts literature reviews, prepares reports and materials, and disseminates information to appropriate entities
  • Independently identifies and implements appropriate data science techniques to answer research questions including data set preparation, data visualization, statistical analysis, machine learning, reproducible workflows
  • Publishes and presents results to help advance research
  • Monitors program budget and approves unit expenditures

Department:
School of Medicine and Public Health, UW Center for Tobacco Research and Intervention (UW-CTRI)
UW-CTRI is based in the School of Medicine and Public Health (SMPH) at the University of Wisconsin-Madison. UW-CTRI improves lives by conducting biomedical and social science research to better understand the impacts of tobacco use and addiction and design and implement evidence-based interventions to reduce tobacco use.
Compensation:
The starting salary for the position is $85,000 annually; but is negotiable based 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. For more information, refer to the campus benefits webpage and the SMPH Faculty /Academic Staff Benefits Flyer 2026.
Required Qualifications:
  • 5 years of experience in tobacco and/or other addiction research
  • 5 years of experience working in clinical trials research setting
  • Experience using R and the tidyverse/tidymodels ecosystem for data analysis and machine learning
  • Demonstrated track record of successful research program (e.g., first-authored publications, research grants) appropriate to career stage

Preferred Qualifications:
  • Experience with the design, implementation, analysis, and dissemination of clinical trials research
  • Knowledge and experience in precision or personalized medicine
  • Experience with data collection software such as REDCap
  • Experience with qualitative research methods
  • Experience with remote or decentralized clinical research methods
  • Completion of a certified Tobacco Treatment Specialist training program
  • Experience providing counseling and/or clinical supervision for treatment of tobacco, substance use disorders, and other behavioral health conditions

Education:
PhD required, with focus in clinical psychology, data science, or related field preferred
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.
• Cover letter [required]
• Resume or CV [required]
Your cover letter should address how your training and experience aligns with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected.
University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous 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 the need of an employer sponsorship) on or before the effective date of appointment. This position is currently scheduled to end two years from date of hire and will require eligibility to work until that time. If you are selected for this position you must provide proof of work authorization and eligibility to work.
The department will not be able to support a request for a J-1 waiver. If you choose to pursue a waiver and apply for our position, neither the UW nor UWMF will reimburse you for your legal or waiver fees.
Contact Information:
Jesse Kaye, PhD, jesse.kaye@wisc.edu, 608-262-8885
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

Sourced by ZipRecruiter

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