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Statistics Data Science Jobs in Wisconsin (NOW HIRING)

Senior Pricing Analyst

Milwaukee, WI · On-site

$85K - $117K/yr

Bachelor's degree in Economics, Finance, Mathematics, Statistics, Data Science, Engineering, or other quantitative disciplines, with strong foundational knowledge in analytical methodologies. * A ...

Bachelor's degree in Economics, Finance, Mathematics, Statistics, Data Science, Engineering, or other quantitative disciplines, with strong foundational knowledge in analytical methodologies. * A ...

As a consequence you will apply and/or learn a wide variety of statistical techniques including ... You will work on a skilled team of passionate data scientists and meteorologists. Examples of ...

As a consequence you will apply and/or learn a wide variety of statistical techniques including ... You will work on a skilled team of passionate data scientists and meteorologists. Examples of ...

WI · On-site

$80 - $120/hr

Assistant Professor - Data Science (Trauma, Critical Care, and Healthcare Disparities Research ... Build and test statistical, optimization, and machine learning models, including regression ...

Statistics Tutor

Madison, WI · Remote

$18 - $40/hr

Emphasizes data-driven decision making and connects statistics to social sciences, business, and medical research. * Curriculum Awareness & Adaptive Instruction: Familiar with statistics curricula ...

Showing results 41-60

Statistics Data Science information

See Wisconsin salary details

$46.4K

$166.6K

$245.8K

How much do statistics data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for statistics data science in Wisconsin is $166,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,700.00 and $171,600.00 per year, depending on experience, location, and employer.

What are statistics and data science jobs?

Statistics and data science jobs involve analyzing data to extract insights, build models, and support decision-making. These roles often require skills in programming languages like Python or R, statistical methods, and data visualization tools. Professionals in these fields work in various industries such as finance, healthcare, and technology to solve complex problems using data-driven approaches.

What jobs can you get with a statistics and data science degree?

A statistics and data science degree prepares you for roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and quantitative analyst. These positions involve analyzing data, building models, and using tools like Python, R, and SQL to support decision-making across various industries.

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

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

What cities in Wisconsin are hiring for Statistics Data Science jobs?

Cities in Wisconsin with the most Statistics Data Science job openings:

Infographic showing various Statistics Data Science job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $166,561 per year, or $80.1 per hour.

Senior Data Scientist

Rockwell Automation, Inc.

Milwaukee, WI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago


Rockwell Automation rating

7.9

Company rating: 7.9 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

201st of 494 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

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