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Statistics Validator Jobs in Wisconsin (NOW HIRING)

... and statistical validation. • Drive consistency across global test labs, ensuring compliance with corporate and regulatory standards. • Act as a liaison between engineering, operations, and ...

Lead initiatives on measurement uncertainty analysis and statistical validation. Drive consistency across global test labs, ensuring compliance with corporate and regulatory standards. Act as a ...

The Senior Statistical Programmer is responsible for developing, testing, maintaining, validating, and documenting data analysis programs that generate analysis datasets, tables, figures, and ...

The Senior Statistical Programmer is responsible for developing, testing, maintaining, validating, and documenting data analysis programs that generate analysis datasets, tables, figures, and ...

The Senior Statistical Programmer is responsible for developing, testing, maintaining, validating, and documenting data analysis programs that generate analysis datasets, tables, figures, and ...

Define test methodologies, acceptance criteria, and statistical validation approaches. Test Execution & Analysis * Design and execute qualification testing for power electronics products including:

Validate new and revalidate as appropriate existing equipment used in OTC/Cosmetic and medical ... Experience with Minitab statistical analysis software. * Experience with root cause analysis.

Validation Engineer

Hartland, WI · On-site

$73K - $110K/yr

Validate new and revalidate as appropriate existing equipment used in OTC/Cosmetic and medical ... Experience with Minitab statistical analysis software. * Experience with root cause analysis.

Validate new and revalidate as appropriate existing equipment used in OTC/Cosmetic and medical ... Experience with Minitab statistical analysis software. * Experience with root cause analysis.

Lead method development, protocol creation, statistical validation, and documentation of analytical test methods. * Prepare and communicate comprehensive lab reports and interpret data for internal ...

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Statistics Validator information

What are Statistics Validators?

Statistics Validators are professionals who verify the accuracy, integrity, and reliability of statistical data and analyses. They review datasets, methodologies, and statistical outputs to ensure that findings are valid and meet relevant standards. Their work is crucial in research, government, and industry settings, where credible data is essential for decision making. By checking for errors, inconsistencies, and biases, Statistics Validators help maintain the quality and trustworthiness of statistical information.

What are the primary challenges a Statistics Validator faces when ensuring data integrity within a project?

Statistics Validators often encounter challenges related to data quality, such as incomplete datasets, inconsistent formats, or errors introduced during data collection and entry. They must meticulously review data sources, cross-check results, and ensure that statistical methodologies are correctly applied. Collaboration with data analysts, researchers, and IT teams is essential to resolve discrepancies and maintain high data standards. Staying up-to-date with industry best practices and regulatory requirements also plays a crucial role in overcoming these challenges.

What is the difference between Statistics Validator vs Data Analyst?

AspectStatistics Validator
Required CredentialsTypically a degree in statistics, mathematics, or related field; certifications like CAP or ASA are common
Work EnvironmentPrimarily office-based, working with data validation processes, quality assurance, and compliance
Employer & IndustryFinancial institutions, research organizations, government agencies, and data-driven companies
Comparison with Data Analyst

The main difference between a Statistics Validator and a Data Analyst lies in their focus. A Statistics Validator specializes in verifying the accuracy and integrity of statistical data, ensuring compliance with standards. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require strong statistical knowledge, the validator emphasizes quality assurance, whereas the analyst emphasizes data interpretation and reporting.

What is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, programming, and leadership, along with relevant certifications and experience.

What are the key skills and qualifications needed to thrive as a Statistics Validator, and why are they important?

To thrive as a Statistics Validator, you need a strong background in statistics, data analysis, and quality assurance, often supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, or SPSS, as well as proficiency in data validation frameworks and reporting tools, is typically required. Attention to detail, critical thinking, and strong communication skills help ensure the accuracy and clarity of validated data. These skills and qualities are crucial for maintaining data integrity, supporting decision-making, and upholding the credibility of statistical results.

Do statisticians make a lot of money?

Statisticians typically earn a competitive salary, with median annual wages above the national average in many regions. Salaries vary based on experience, education, industry, and location, and advanced skills in data analysis and statistical software can lead to higher pay.

What does a statistics validator do?

A statistics validator reviews and verifies statistical data, methods, and results to ensure accuracy, consistency, and compliance with standards. They often use statistical software and have strong analytical skills to identify errors or discrepancies in datasets and reports.

What qualifications do I need for statistics?

A statistics validator typically needs a bachelor's degree in statistics, mathematics, data science, or a related field. Strong analytical skills, proficiency with statistical software like R or SAS, and attention to detail are essential for verifying data accuracy and integrity.
What are popular job titles related to Statistics Validator jobs in Wisconsin? For Statistics Validator jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Statistics Validator jobs in Wisconsin look for? The top searched job categories for Statistics Validator jobs in Wisconsin are:
Infographic showing various Statistics Validator job openings in Wisconsin as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Principal Test Engineers

Principal Test Engineers

Milwaukee Tool

Brookfield, WI • On-site

Full-time

Posted 3 days ago


Job description

Principal Test Engineer
Job Description:
Principal Test Engineers
13135 W Lisbon Road, Brookfield, WI 53005
Job Description
• Ensure the highest standards of product validation, measurement accuracy, and innovation in test methodologies.
• Define long-term vision for test engineering practices, tools, and global alignment.
• Establish and maintain enterprise-level test standards and best practices.
• Oversee design and validation of automated test solutions, ensuring scalability and robustness.
• Lead initiatives on measurement uncertainty analysis and statistical validation.
• Drive consistency across global test labs, ensuring compliance with corporate and regulatory standards.
• Act as a liaison between engineering, operations, and quality teams worldwide.
• Identify opportunities for disruptive testing technologies and processes.
• Champion digital transformation in test engineering.
• Coach test engineers and technicians on advanced methodologies and leadership skills. May manage project team members.
• Develop training programs for global teams on new test systems and standards.
Bachelor's degree in Mechanical Engineering, Electrical Engineering, related engineering field, or foreign degree equivalent, and 7 years of relevant experience as a Test Engineer, or alternate related acceptable occupation; OR Master's degree in Mechanical Engineering, Electrical Engineering, related engineering field, or foreign degree equivalent, and 5 years of relevant experience as a Test Engineer, or alternate related acceptable occupation.
Work or academic experience must have included:
1. Test system design, statistical analysis, and uncertainty calculations.
2. Mechatronic systems (hydraulics, pneumatics, and electrical components).
3. LabVIEW or similar test automation tools.
4. Finite Element Analysis (FEA), SolidWorks, and simulation software.
5. AI and Machine Learning Applications in testing and predictive analytics.
10% of domestic and international travel required.
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Milwaukee Tool is an equal opportunity employer.