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Volunteer Data Scientist Machine Learning Jobs in Wisconsin

Design, develop, and deploy first principles, machine learning, and hybrid models to optimize ... The Data Sciences professional we seek is an individual with these qualifications. Basic ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Madison, WI · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

WI · On-site

$90 - $130/hr

Collaborate with cross‑functional teams including data scientists, engineers, and product managers to deliver AI‑driven solutions * Integrate machine learning models into production environments ...

Bachelor's degree in Statistics, Data Science, Computer Science, Operations Research or a related field and 4 years in any job title involving statistical and machine learning modeling experience.

Data Scientist II/III

Madison, WI · On-site

$95 - $130/hr

... machine learning, and data mining * Organizes and automates project steps for data preparation and analysis Requirements * At least five years of relevant experience in health-related applied ...

Data Scientist

Brookfield, WI · On-site

$111K - $131K/yr

Develop predictive and prescriptive analytics solutions utilizing machine learning, statistical ... Define enterprise data standards, metadata management practices, and data governance processes.

WI · On-site

$120 - $240/hr

AI and systems programming are both foundational to this role: the Pricing Data Scientist applies data collection and curation, machine learning, Gen AI, and LLM-based techniques to product matching ...

New

WI · On-site

$110 - $165/hr

Develop and maintain scalable data pipelines, data quality checks, and model monitoring to ensure ... Professional industry experience applying machine learning or statistical modeling to real business ...

New

$225K - $260K/yr

This includes ensuring data is efficiently loaded, distributed, and processed across large GPU ... Work closely with ML scientists and other engineers to integrate new models, experiments, and ...

Showing results 41-60

Volunteer Data Scientist Machine Learning information

What does a volunteer data scientist machine learning do?

A Volunteer Data Scientist in Machine Learning applies data analysis and machine learning techniques to help organizations solve problems, often for nonprofits or community projects. They may work on tasks such as cleaning and analyzing datasets, building predictive models, or creating data visualizations. Their work supports impactful decision-making and can help organizations operate more efficiently or achieve specific social goals. Volunteers often collaborate with teams to define project objectives and deliver actionable insights using their technical expertise.

What skills and qualifications are needed to thrive as a volunteer data scientist machine learning?

To thrive as a Volunteer Data Scientist (Machine Learning), you need proficiency in statistics, data analysis, programming (Python or R), and a foundational understanding of machine learning algorithms, often supported by a relevant degree or online certifications. Familiarity with tools like scikit-learn, TensorFlow, Jupyter Notebooks, and data visualization platforms is typically required. Strong problem-solving abilities, teamwork, and effective communication are crucial soft skills for translating complex data insights to non-technical stakeholders. These skills and qualities are essential to effectively contribute value, support decision-making, and drive impact in resource-limited volunteer environments.

How does a volunteer data scientist machine learning typically collaborate with other team members or departments?

As a Volunteer Data Scientist specializing in Machine Learning, you will often work closely with cross-functional teams such as project managers, software engineers, and subject matter experts. Effective collaboration is essential, as you may need to clarify project goals, source and preprocess data, or translate complex findings for non-technical stakeholders. Regular meetings and open communication help ensure that your machine learning solutions are aligned with the organization's mission and that your insights are actionable. This collaborative environment provides valuable experience working in diverse teams and often leads to impactful, real-world applications of your technical skills.

What is the difference between Volunteer Data Scientist Machine Learning vs Volunteer Data Analyst?

AspectVolunteer Data Scientist Machine LearningVolunteer Data Analyst
Required CredentialsKnowledge of machine learning algorithms, programming skills (Python, R), basic statisticsProficiency in data visualization, basic statistics, Excel, SQL
Work EnvironmentCollaborative projects, research-focused, often remote or nonprofit settingsData reporting, dashboard creation, data cleaning in nonprofit or community projects
Employer & Industry UsageTech nonprofits, research institutions, startupsCharities, educational organizations, community initiatives

Volunteer Data Scientist Machine Learning focuses on developing predictive models and advanced analytics, requiring programming and machine learning expertise. Volunteer Data Analyst emphasizes data interpretation, visualization, and reporting. Both roles support nonprofits but differ in technical complexity and focus areas.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Wisconsin?

The most popular types of Data Scientist Machine Learning jobs in Wisconsin are:

What cities in Wisconsin are hiring for Volunteer Data Scientist Machine Learning jobs?

Cities in Wisconsin with the most Volunteer Data Scientist Machine Learning job openings:

Infographic showing various Volunteer Data Scientist Machine Learning job openings in Wisconsin as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Data Scientist - Madison WI

MSCCN

Mcfarland, WI • On-site

$100K/yr

Full-time

Posted 24 days ago


Job description


ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. Unless specifically stated otherwise, this role is "On-Site" at the location detailed in the job post.
Senior Data Scientist
What you will do
Let's do this! Let's change the world!
In this vital role you will be responsible for developing, maintaining, and deploying first principles and/or machine learning models for biopharmaceutical processes, including but not limited to, cell culture, biologics formulation development, and fill/finish processes. You will be responsible for model design, selection of underlying technologies and infrastructure, and ensuring successful application of models in Process Development.
The ideal candidate will have a strong background in chemical engineering or mechanical engineering as well as expertise in data science to tackle challenging cross-functional projects. Fundamental understanding of bioprocesses as well as first principles (i.e., transport phenomena, fluid mechanics, reaction kinetics) is preferred. The candidate will be part of cross-functional project teams with frequent interactions with Amgen's SMEs and stakeholders as well as document and communicate the underlying technical basis of the models for use by engineers and scientists.
Design, develop, and deploy first principles, machine learning, and hybrid models to optimize biopharmaceutical processes.
Integrate modeling software with connectivity to real-time equipment data to enable digital twins for improved process performance and understanding.
Build and maintain robust data pipelines and agentic workflows to streamline the effort required to generate impact-level insights.
Collaborate with cross-functional teams to translate scientific challenges into data-driven solutions and ensure seamless model integration into process development workflows.
Champion best practices in software development, including version control, testing, and continuous integration to ensure model reliability, scalability, and reproducibility.
Additional Qualifications/Responsibilities
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The Data Sciences professional we seek is an individual with these qualifications.
Basic Qualifications:
High school diploma / GED and 10 years of Data Sciences experience OR
Associate's degree and 8 years of Data Sciences experience OR
Bachelor's degree and 4 years of Data Sciences experience OR
Master's degree and 2 years of Data Sciences experience OR
Doctorate degree
Preferred Qualifications:
Ph.D. in Chemical Engineering, Mechanical Engineering, Applied Math, or related field
Strong background in mechanistic modeling and first principles (e.g., transport phenomena, fluid mechanics, reaction kinetics)
Experience in applying AI and ML algorithms to produce data-driven solutions to engineering problems
Track record of leading modeling and data science projects
3+ yrs of coding experience in Python
Understanding of biopharmaceuticals process and related unit operations
Experience using Git for version control
Familiarity with DevOps and software best practices (i.e., version control, continuous integration, test driven development)
Experience with data engineering & visualization tools (e.g., Databricks, Spotfire) as well as cloud computing and data storage systems such as AWS
Experience leveraging AI tools to generate agentic solutions for scientific workflows
Independent, self-motivated, organized, and able to multi-task in time-sensitive environments
Excellent communication skills (written and verbal)
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
What you can expect from us
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
Salary Range
134,168.25USD -181,521.75 USD