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Learning Scientist Jobs in Wisconsin (NOW HIRING)

WI ยท On-site

$140 - $190/hr

Bachelor's degree in Computer Science, Statistics, Mathematics, or a related technical field, or equivalent practical experience * 5+ professional years of experience as a Machine Learning Scientist ...

WI ยท On-site

$110 - $165/hr

... Science or a related technical field; or Equivalent related professional experience * 2+ years of relevant professional experience * Professional industry experience applying machine learning or ...

Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. What you'll be doing:

New

As a Data Scientist your work may be focused in a variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization methods ...

Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. What you'll be doing:

New

As a Data Scientist your work may be focused in a variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization methods ...

As a Data Scientist your work may be focused in a variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization methods ...

WI ยท On-site

$90 - $150/hr

* Develop and deploy analytics, machine learning, natural language processing, and AI solutions ... Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Health ...

Machine Learning Tutor

Madison, WI ยท Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Milwaukee, WI ยท Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

WI ยท On-site

$120 - $180/hr

The Data Scientist is responsible for leveraging advanced analytics, statistical models, and machine learning techniques to uncover insights from structured and unstructured data. This role supports ...

New

WI ยท On-site

$120 - $160/hr

Relevant experience required includes designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python ...

New

Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. What you'll be doing:

New

Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. What you'll be doing:

New

Data Scientist

Appleton, WI ยท On-site

$120 - $180/hr

Position Summary The Data Scientist, specializing in AI and Advanced Analytics, plays a key role ... Design, build, and deploy machine learning models across a range of use cases (e.g., forecasting ...

WI ยท On-site

$140 - $190/hr

Senior Data Scientist - Applied AI, NLP, and LLM Solutions Note: Fidelity will not provide ... Strong technical foundation in machine learning and statistical modeling, with deeper experience in ...

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Showing results 1-20

Learning Scientist information

See Wisconsin salary details

$37.9K

$123.9K

$198.3K

How much do learning scientist jobs pay per year?

As of Aug 29, 2026, the average yearly pay for learning scientist in Wisconsin is $123,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $137,300.00 per year, depending on experience, location, and employer.

What is a learning scientist?

A Learning Scientist studies how people learn and applies research to improve education, training, and instructional design. They combine insights from cognitive science, psychology, education, and technology to develop effective learning environments. Their work may involve designing digital learning tools, analyzing learner behavior, and conducting research to enhance teaching methods. Learning Scientists often collaborate with educators, designers, and policymakers to optimize learning experiences in schools, workplaces, and online platforms.

What types of projects does a learning scientist typically work on within an organization?

Learning Scientists often design and evaluate educational programs, develop new instructional methods, or study how people learn in various environments. Their projects may include collaborating with educators to create digital learning tools, running experiments to measure student engagement or comprehension, and analyzing large data sets to assess the effectiveness of teaching strategies. Many Learning Scientists work closely with curriculum developers, technologists, and policymakers to implement and scale evidence-based improvements. This role provides continuous opportunities to tackle complex, real-world learning challenges while making a measurable impact on educational outcomes.

What are the key skills and qualifications needed to thrive as a learning scientist?

To thrive as a Learning Scientist, you need a solid background in educational psychology, research methods, data analysis, and often a doctoral degree in a related field. Familiarity with learning management systems (LMS), statistical software (such as SPSS or R), and experience conducting experiments or large-scale educational studies is valuable. Strong communication, critical thinking, and collaborative skills help Learning Scientists effectively share insights and work across multidisciplinary teams. These skills are essential for designing evidence-based interventions, analyzing learning outcomes, and driving educational innovation.

What are popular job titles related to Learning Scientist jobs in Wisconsin?

For Learning Scientist jobs in Wisconsin, the most frequently searched job titles are:

What cities in Wisconsin are hiring for Learning Scientist jobs?

Cities in Wisconsin with the most Learning Scientist job openings:

Infographic showing various Learning Scientist job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $123,886 per year, or $59.6 per hour.

Machine Learning Scientist III - Package Pricing

Jobtailor

WI โ€ข On-site

$140 - $190/hr

Other

Posted 11 days ago


Job description

  • Design, build, and improve machine learning models and systems powering Expedia Group products
  • Perform end-to-end model development, including problem formulation, data exploration, feature engineering, training, evaluation, and production deployment
  • Develop robust data pipelines, data transformations, and data quality checks for ML models and experimentation
  • Partner with product, engineering, and analytics teams to translate business problems into ML solutions
  • Define success metrics and run experiments to validate impact
  • Safely integrate and operate AI/ML-enabled solutions in real-world products
  • Contribute to system design, including model-serving APIs and supporting data models
  • Create documentation and best practices supporting reuse and scalability across product domains
  • Work on pricing systems involving causal inference, mixed integer programming, and ML-based demand estimation
Requirements
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related technical field, or equivalent practical experience
  • 5+ professional years of experience as a Machine Learning Scientist or in a similar applied ML role
  • Experience with end-to-end model development and deployment in real-world products
  • Proficiency in at least one programming language commonly used for ML, such as Python
  • Experience with data processing frameworks, model training libraries, and model evaluation techniques
  • Experience owning ML components or services in production
  • Experience monitoring model performance and maintaining data pipelines
  • Experience collaborating with engineering teams on APIs and data models
  • Advanced degree in a quantitative discipline preferred
  • Experience with pricing, revenue optimization, marketplace dynamics, or similar business problems preferred
  • Experience designing and analyzing experiments, such as A/B testing, preferred
  • Experience working with noisy or incomplete data preferred
  • Experience building ML models using user behavior, segmentation, or contextual signals preferred
  • Familiarity with causal inference methods or optimization techniques, such as mixed-integer programming, preferred
Core Competencies

Demonstrates expertise in end-to-end machine learning model development, including data exploration, feature engineering, and deployment. Proficient in collaborating with cross-functional teams to translate business challenges into effective ML solutions while ensuring robust data pipelines and model performance monitoring.

Highest-signal resume keywords
  • Machine Learning Model Development
  • Python Programming
  • Data Processing Frameworks
  • Model Evaluation Techniques
  • Causal Inference Methods
ATS Optimization KeywordsHard Skills
  • End-to-End Model Development
  • Feature Engineering
  • Data Quality Checks
  • Model Training Libraries
  • Model Performance Monitoring
  • A/B Testing
  • Mixed Integer Programming
  • Demand Estimation
  • Data Transformations
  • Experiment Design
Soft Skills
  • Collaboration
  • Communication
Industry Keywords
  • Pricing Systems
  • Revenue Optimization
  • Marketplace Dynamics
  • Quantitative Discipline
  • Statistical Analysis
Tools & Technologies
  • Machine Learning Frameworks
  • APIs
  • Data Pipelines
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