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Volunteer Data Scientist Machine Learning Jobs in Madison, WI

Innovizant LLC

Data Scientist

Madison, WI · On-site

Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional Information Thanks & Regards, Aditya Prakash / Resource Manager / Innovizant LLC Phone : 630-685 ...

The Weather Channel

Senior Data Scientist

Madison, WI · On-site

Are you interested in applying machine learning or data mining on problems that truly improve people's life? We're looking for a mathematician/data scientist eager to tackle unique challenges in the ...

The Weather Channel

Senior Data Scientist

Madison, WI · On-site

Are you interested in applying machine learning or data mining on problems that truly improve people's life? We're looking for a mathematician/data scientist eager to tackle unique challenges in the ...

Innovizant LLC

Data Scientist

Madison, WI

Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional Information Thanks & Regards, Aditya Prakash | Resource Manager | Innovizant LLC Phone : 630-685 ...

Amgen SA

Senior Data Scientist

Madison, WI · On-site

$120 - $190/hr

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 ...

US Department of Commerce

Data Scientist

Madison, WI · On-site

$147K/yr

Volunteer work helps build critical competencies; knowledge, and skills and can provide valuable ... Designing or implementing artificial intelligence and machine learning models to analyze or ...

Amgen

Senior Data Scientist

Madison, WI · On-site

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 ...

MSCCN

Senior Data Scientist - Madison WI

Mcfarland, WI · On-site

$100K/yr

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 ...

Wisconsin

Data Scientist II or III

Madison, WI

$85K/yr

... machine learning, and data mining * Organizes and automates project steps for data preparation and analysis Department: School of Medicine and Public Health, Population Health Institute The UW ...

Varsity Tutors

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 ...

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All JobsVolunteer Data Scientist Machine Learning JobsVolunteer Data Scientist Machine Learning Jobs in Madison, WI

Volunteer Data Scientist Machine Learning information

See Madison, WI salary details

$37.8K

$123.7K

$198K

How much do volunteer data scientist machine learning jobs pay per year?

As of Aug 10, 2026, the average yearly pay for volunteer data scientist machine learning in Madison, WI is $123,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $137,000.00 per year, depending on experience, location, and employer.

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 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 are the most commonly searched types of Data Scientist Machine Learning jobs in Madison, WI? The most popular types of Data Scientist Machine Learning jobs in Madison, WI are:
Volunteer Data Scientist Machine Learning jobs near you

Data Scientist - Logistics

Keka Technologies Private Limited

Oregon, WI • On-site

$100 - $130/hr

Other

Posted 5 days ago

Job description

Responsibilities
  • Lead the research, development, and implementation of advanced time series forecasting models to optimise logistics operations, including ETA prediction, preparation times, and demand forecasting.
  • Design and implement optimization algorithms and solvers to improve logistics network efficiency, route planning, and resource allocation.
  • Design and conduct rigorous experiments to test, validate, and benchmark models under various real‑world scenarios, ensuring robustness and accuracy.
  • Fine‑tune, deploy, and monitor ML models and applications in production, maintaining retraining pipelines and ensuring model performance over time.
  • Collaborate with ML engineers, backend engineers, researchers, and product engineers in a cross‑functional setting to identify key operational challenges and develop innovative data‑driven solutions.
  • Conduct A/B tests and other experimentation techniques to evaluate model impact and drive continuous improvement across logistics KPIs.
  • Translate complex analytical results into actionable business insights, presenting findings to senior leadership and stakeholders.
  • Provide technical leadership in data science, mentoring junior team members and driving best practices in modelling, experimentation, and code quality.
  • Stay up‑to‑date with the latest advancements in AI, ML, and operations research, integrating cutting‑edge techniques into logistics solutions.
Qualifications
  • MSc in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field.
  • Nice to Have: PhD in Data Science, Statistics, Computer Science, Electrical Engineering, or equivalent industrial experience.
  • 5+ years of experience in data science, machine learning, or statistical modelling, with a strong focus on time series forecasting and/or optimisation problems.
  • Extensive hands‑on experience with time series forecasting methods (e.g., ARIMA, Prophet, LightGBM, TFT, DeepAR, N‑BEATS) and regression/classification models.
  • Practical experience with optimisation techniques and solvers (e.g., linear programming, mixed‑integer programming, heuristic methods, OR‑Tools, PuLP, or similar).
  • Proficiency in Python, including libraries such as Pandas, NumPy, Scikit‑learn, Optuna, LightGBM, TensorFlow, or PyTorch.
  • Practical experience in developing and deploying ML models at scale, including monitoring and retraining pipelines.
  • Practical experience in A/B testing and other experimentation techniques.
  • Strong experience handling large datasets and proficiency with SQL databases (BigQuery, Redash or others).
  • Experience with cloud platforms such as AWS (ECS, S3, Lambda, Step Functions), GCP (BigQuery, VertexAI), and/or Databricks for ML model development and deployment.
  • Proven experience in the delivery and logistics industry, with a strong understanding of its operational challenges and optimisation opportunities (a plus).
Benefits
  • Global Vibes – Collaborate with a worldwide crew.
  • Brain Boosters – Learning budgets, access to courses, and tools for your growth.
  • Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.
  • Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.
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