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Science Foundation Jobs in Wisconsin (NOW HIRING)

Trade Station Group, Inc.

WI · On-site

$244 - $279/hr

This builds on the Senior Director, Enterprise Data mandate that established the data foundation: this VP elevates that mandate to own data science, analytics, activation, and data products end to ...

Baylor College of Medicine

WI · On-site

$150 - $200/hr

... science institution located within the world's largest medical center in Houston, Texas. It is ... foundation, or industry-supported grants Interested candidates should provide a brief cover letter ...

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Science Foundation information

See Wisconsin salary details

$24.7K

$48.8K

$79.7K

How much do science foundation jobs pay per year?

As of Sep 3, 2026, the average yearly pay for science foundation in Wisconsin is $48,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,900.00 and $52,500.00 per year, depending on experience, location, and employer.

What is a science foundation?

Science foundations are organizations, often nonprofit or government-funded, that support scientific research and education through grants, scholarships, and other resources. They play a crucial role in advancing scientific knowledge by funding innovative projects, supporting scientists, and promoting science outreach. Examples include the National Science Foundation (NSF) in the United States and the European Science Foundation (ESF). Their work helps drive discoveries, foster collaboration, and support the next generation of researchers.

What are the key skills and qualifications needed to thrive in a science foundation role?

To thrive in a Science Foundation role, you need a strong background in scientific research, grant writing, and program management, typically supported by an advanced degree in a STEM field. Familiarity with funding management systems, data analysis tools, and compliance regulations is commonly required. Excellent communication, critical thinking, and collaboration skills help individuals engage with researchers, stakeholders, and interdisciplinary teams. These skills and qualities are vital for effectively advancing scientific initiatives, managing resources, and fostering innovation.

What are some typical challenges faced when working at a science foundation, and how can applicants prepare for them?

Working at a science foundation often involves juggling multiple projects, managing grant applications, and collaborating across academic and nonprofit sectors. One common challenge is balancing administrative responsibilities with the need to stay informed about scientific trends and advancements. Applicants can prepare by developing strong organizational and communication skills, as well as staying current with developments in relevant fields. Familiarity with grant writing and review processes is also beneficial for navigating the fast-paced and multidisciplinary environment typical of science foundations.

What is the difference between Science Foundation vs Science Technician?

AspectScience FoundationScience Technician
Required CredentialsTypically a bachelor's degree in science or related fieldAssociate degree or diploma in science or laboratory technology
Work EnvironmentResearch institutions, universities, or government agenciesLaboratories, research facilities, or educational institutions
Employer & Industry UsageFunding agencies, research organizations, educational institutionsLaboratories, research projects, educational settings
Common Search & Comparison IntentUnderstanding funding or program rolesJob responsibilities and qualifications

The Science Foundation generally refers to an organization or program that funds or supports scientific research, often requiring a background in science. A Science Technician, on the other hand, is a professional who assists in scientific experiments and research, typically with technical training. While both roles are connected to science, the Foundation is more about funding and support, whereas the Technician is involved in hands-on research work.

What are the most commonly searched types of Science Foundation jobs in Wisconsin?

The most popular types of Science Foundation jobs in Wisconsin are:

What are popular job titles related to Science Foundation jobs in Wisconsin?

For Science Foundation jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Science Foundation jobs in Wisconsin look for?

The top searched job categories for Science Foundation jobs in Wisconsin are:

Science Foundation jobs near you
Infographic showing various Science Foundation job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $48,843 per year, or $23.5 per hour.

Senior Data Scientist

Rockwell Automation, Inc.

Milwaukee, WI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Rockwell Automation rating

7.9

Company rating: 7.9 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

202nd of 496 rated machine equipment manufacturers

Job description

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.
We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that's you we would love to have you join us!
Job Description
Job Description
The Data Science & Innovation Organization is building the analytical engine that powers our AI product portfolio. As Senior Data Scientist, Agentic AI Products, you will own the data and modeling layer that our agentic systems depend on. This role sits directly alongside the Senior Agentic AI Engineer, who designs and deploys the reasoning, orchestration, and tool-use layers of our AI agents. Where that role builds the agent architecture, you build the empirical foundation. The empirical foundation consists of curated datasets, predictive models embedded as agent tools, statistical rigor for evaluation, and the feedback infrastructure that makes agents measurably better over time. Together, these two roles form the core of our applied AI capability.
Primary Responsibilities:
Dataset creation & curation
  • Build high-quality labeled datasets from operational data sources including structured databases, event logs, sensor streams, and document repositories
  • Define feature engineering strategies for time-series, event-based, and unstructured data

Predictive model development
  • Build, validate, and maintain predictive models (e.g. anomaly detection, classification, forecasting) that serve as callable tools within agentic AI systems
  • Apply rigorous statistical methods: hypothesis testing, cross-validation, and confidence interval estimation to ensure model outputs are trustworthy when surfaced by an agent

Agent data interfaces & RAG grounding
  • Own the data pipeline that populates structured knowledge bases used for retrieval-augmented generation in agentic products
  • Build evaluation frameworks to measure retrieval quality and factual accuracy against domain specific ground-truth datasets

Experimentation & statistical rigor
  • Apply relevant causal inference techniques (e.g. synthetic controls, difference-in-difference) to isolate causal effects in operational environments
  • Serve as the statistical conscience of the AI team: design measurement frameworks before shipping, and build internal culture around responsible AI performance claims

Cross-functional enablement
  • Collaborate with product managers to translate domain use cases into well-formed ML problem statements
  • Work with AI engineers and data platform teams to align on feature store standards and machine learning best practices that support reliable agent tool integration

The Essentials - You Will Have:
  • Bachelor's Degree in relevant field.
  • Legal authorization to work in the US is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.

The Preferred - You Might Also Have:
Core data science foundations
• 5+ years building end-to-end predictive models in production: from raw data through feature engineering, model training, evaluation, and deployment
• Applied statistics: hypothesis testing, Bayesian methods, time-series modeling, uncertainty quantification, and understanding of common ML evaluation failure modes
• Proficiency in Python (pandas, scikit-learn, PyTorch or equivalent); advanced SQL; familiarity with cloud data platforms (AWS, GCP, or Azure)
AI agent and RAG data experience
• Direct experience building datasets and evaluation pipelines for conversational AI, chatbot, or agent systems
• Understanding of how predictive model outputs (scores, probabilitie
What We Offer:
  • Health Insurance including Medical, Dental and Vision
  • 401k
  • Paid Time off
  • Parental and Caregiver Leave
  • Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life.
  • To learn more about our benefits package, please visit at www.raquickfind.com.

This position is part of a job family. Experience will be the determining factor for position level and compensation.
At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles.
#LI-Hybrid
#LI-LifeAtRok
#LI-SB1
We are an Equal Opportunity Employer including disability and veterans.
If you are an individual with a disability and you need assistance or a reasonable accommodation during the application process, please contact our services team at +1 (844) 404-7247.
Rockwell Automation's hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.

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About Rockwell Automation

Sourced by ZipRecruiter

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 25,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.

Industry

Industrial automation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Milwaukee, WI, US

Year founded

1903

Social media

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