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Remote Data Scientist Jobs in Schofield, WI (NOW HIRING)

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Remote Data Scientist information

See Schofield, WI salary details

$37.4K

$122.4K

$195.9K

How much do remote data scientist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote data scientist in Schofield, WI is $122,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $135,600.00 per year, depending on experience, location, and employer.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What key skills and qualifications are 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, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

More about Remote Data Scientist jobs

What cities near Schofield, WI are hiring for Remote Data Scientist jobs?

Cities near Schofield, WI with the most Remote Data Scientist job openings:

Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Schofield, WI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,363 per year, or $58.8 per hour.

Pathways Intern: Geospatial Data Technician

Stevens Point, WI • On-site, Remote

Universities of Wisconsin
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about Universities of Wisconsinexternal

$18/hr

Part-time

Posted 16 days ago

Key responsibilities

  • Digitize geologic formations and create polygon features representing Wisconsin's bedrock formations using ArcGIS Pro.

  • Apply topology rules, identify and correct spatial errors, and attribute features with standardized geologic codes and descriptions.

  • Assist with creating metadata, conduct QA/QC checks, and prepare GIS data for submission and publication.

University Of Wisconsin System rating

7.6

Company rating: 7.6 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

292nd of 631 rated colleges and universities

Job description

Current Students: If you are currently employed or enrolled as a student at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process. Workday Internal Jobs Site for Students
Position Title:
Pathways Intern: Geospatial Data Technician
Job Category:
Student Hourly
Job Profile:
Student Help
Job Summary:
Job Summary
Position Title: Geospatial Data Technician Intern
Department: Geography and Geology
Supervisor: Lisa Siewert, Instructional Supervisor
Location: UW-Stevens Point
Type: Pathways Internship, 2026-27 Academic Year
Compensation: $18.00/hour, approximately 8-10 hours per week
Are you interested in GIS and looking for an opportunity to build professional experience while working on a real-world mapping project?
The Geospatial Data Technician Intern will help transform the official Geologic Map of Wisconsin into a modern GIS dataset for public and educational use. Working primarily in ArcGIS Pro, the intern will digitize geologic formations, create and edit spatial data, check the dataset for errors, and help prepare it for eventual publication through GeoData@Wisconsin.
This internship provides an opportunity to take GIS skills learned in the classroom and apply them to a large-scale professional project. The completed dataset may also support educational mapping projects, including the Ice Age Trail Educator Geologic Map.
Primary Responsibilities
  • Digitize geologic formations in ArcGIS Pro using heads-up digitizing techniques.
  • Create and edit polygon features representing Wisconsin's bedrock formations.
  • Apply topology rules and identify and correct gaps, overlaps, and other spatial errors.
  • Attribute features using standardized geologic unit codes and descriptions.
  • Maintain consistent symbology and organized GIS data.
  • Assist with creating metadata for the completed dataset.
  • Conduct regular quality assurance and quality control (QA/QC) checks.
  • Prepare completed GIS data for eventual submission to GeoData@Wisconsin.
  • Maintain organized project files and documentation.
  • Meet weekly with the faculty supervisor to review progress, troubleshoot challenges, and establish upcoming project goals.
  • Communicate questions, challenges, and ideas for improving project workflows.

Preferred Qualifications
  • Junior or senior standing in Geospatial Sciences or a related field.
  • Coursework or demonstrated experience using ArcGIS Pro.
  • Strong attention to detail and spatial reasoning skills.
  • Ability to work independently and make consistent progress toward project goals.
  • Comfort completing detailed digitization and data-editing tasks.
  • Interest in GIS, cartography, geography, geology, or related fields.
  • Commitment to producing accurate, high-quality geospatial data.

Pathways Internship Eligibility
Applicants must:
  • Be in good academic standing.
  • Be enrolled in 12 or more undergraduate credits during each participating term.
  • Have a cumulative GPA of 2.5 or higher.

Skills Gained Through the Internship
  • Professional experience using ArcGIS Pro.
  • Geospatial data creation and editing.
  • Heads-up digitizing and feature attribution.
  • GIS topology and spatial error correction.
  • Quality assurance and quality control (QA/QC).
  • Metadata creation and data documentation.
  • Geospatial data management and publication workflows.
  • Project management and professional communication.
  • Experience contributing to a large-scale GIS project that can be discussed with future employers.

Learning Outcomes
LO1 - Geospatial Data Creation and Editing
The intern will apply ArcGIS Pro tools and professional digitizing techniques to create accurate vector data from an existing georeferenced geologic map.
LO2 - Data Quality and Topology
The intern will apply topology and QA/QC procedures to identify, evaluate, and correct spatial and attribute errors within a GIS dataset.
LO3 - Geospatial Data Management
The intern will organize GIS files, attributes, symbology, and metadata using consistent professional data-management practices.
LO4 - Professional Communication and Project Management
The intern will communicate project progress, identify challenges, respond to feedback, and manage weekly project milestones through regular meetings with the faculty supervisor.
LO5 - Professional Development
The intern will develop two individualized professional development goals with the faculty supervisor and reflect on how the knowledge and skills gained through the internship can support future GIS-related career opportunities.
Key Job Responsibilities:
Special Notes:
Through the discovery and dissemination of knowledge, UW-Stevens Point stimulates intellectual growth, provides a liberal education, and prepares students for a diverse sustainable world. The university is committed to creating a safe, inclusive learning community for all faculty and staff from a variety of backgrounds. Visit https://www.uwsp.edu/join-uw-stevens-point/ for more information about UW-Stevens Point. To learn about the Stevens Point (aka Point) area fun, jobs, housing, education, quality of life, and bragging rights, visit www.stevenspointarea.com.
Individuals with disabilities who need a reasonable accommodation during the application or interview process should contact Human Resources and Affirmative Action at 715-346-2606 or hr@uwsp.edu.
The safety and success of students, faculty, and staff at the University of Wisconsin-Stevens Point is paramount. The Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act requires the distribution of an annual security report to all current and prospective students, faculty, and staff. You may obtain the complete report at https://www3.uwsp.edu/protsv/Pages/Clery.aspx
The University of Wisconsin-Stevens Point will not reveal the identities of applicants who request confidentiality in writing, except the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).
An offer of employment will require a criminal background check and authorization to work within the United States as required by the Immigration Reform and Control Act of 1986.
UW is an Equal Opportunity Employer:
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, disability, status as a protected veteran, or any other bases protected by applicable federal or State law and UW System policies. We are committed to building a workforce that represents a variety of backgrounds, perspectives, and skills, and encourage all qualified individuals to apply.

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