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Statistics Validator Jobs (NOW HIRING)

CLS Bank International

Model Validator

Manhattan, NY

MS/MA or MBA is desired. • Experience with numerical and statistical tools: e.g. SAS, MATLAB, S ... model validation and reporting. · Knowledge of regulatory guidance on model risk management and ...

Staffingine LLC

Sr. Principal Statistics

Paramus, NJ · On-site

Provide statistical and validation support for statistical analysis, analysis datasets and TFL Review study report, manuscripts and other documents related to statistics * Work on responses to health ...

Lilly

Director - Statistics

Boston, MA · On-site

... validated as targets for lowering low-density lipoprotein cholesterol (LDL-C), a root cause of ... The Project Statistician at the Director level provides statistical leadership in multiple ...

Eli Lilly and Company

Director - Statistics

Boston, MA · On-site

... validated as targets for lowering low-density lipoprotein cholesterol (LDL-C), a root cause of ... The Project Statistician at the Director level provides statistical leadership in multiple ...

US Department of the Air Force

$63K/yr

OR COMBINATION OF EDUCATION AND EXPERIENCE: at least 24 hours of mathematics and statistics ... validate space systems. Broad management principles associated with directing highly skilled ...

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All JobsStatistics Validator Jobs

Statistics Validator information

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$40.5K

$83.7K

$117K

How much do statistics validator jobs pay per year?

As of Jun 16, 2026, the average yearly pay for statistics validator in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.

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 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.
More about Statistics Validator jobs
What cities are hiring for Statistics Validator jobs? Cities with the most Statistics Validator job openings:
What states have the most Statistics Validator jobs? States with the most job openings for Statistics Validator jobs include:
What job categories do people searching Statistics Validator jobs look for? The top searched job categories for Statistics Validator jobs are:
Statistics Validator jobs near you
Infographic showing various Statistics Validator job openings in the United States as of June 2026, with employment types broken down into 64% Full Time, 27% Part Time, and 9% Nights. Highlights an 100% In-person job distribution, with an average salary of $83,657 per year, or $40.2 per hour.
Senior Statistician - AI Product Assurance

Senior Statistician - AI Product Assurance

Caterpillar

Pittsburgh, PA • On-site

$112K - $183K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Caterpillar Inc. rating

7.5

Company rating: 7.5 out of 10

Based on 459 frontline employees who took The Breakroom Quiz

219th of 418 rated machine equipment manufacturers

Job description

Career Area:
Engineering
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
The Senior Statistician - AI Product Assurance is responsible for providing rigorous statistical evidence to support the design, implementation and deployment of safety-related AI-enabled products. This role is part of a newly established AI Product Assurance team focused on demonstrating that complicated, complex, agentic based products meet defined safety objectives throughout their lifecycle.
Statistical validation is a core element of the assurance approach, alongside functional safety and Safety of the Intended Functionality (SOTIF). The Senior Statistician serves as a technical authority, translating safety intent into quantitative evidence that can be reviewed, audited, and defended.
What You Will Do:
  • Lead the development and execution of statistical validation plans that support AI product safety claims for release and in-service operation.
  • Define quantitative safety metrics, acceptance criteria, and confidence levels aligned with internal governance and external standards.
  • Design and analyze experiments, simulations, and operational data sets to assess risk, uncertainty, and residual hazards, including rare-event and edge-case behavior.
  • Apply advanced statistical techniques such as Bayesian inference, reliability analysis, survival analysis, uncertainty quantification, and causal methods to complex systems.
  • Evaluate system performance under uncertainty, distributional shift, and changing operational conditions.
  • Collaborate with the engineering teams to integrate statistical evidence into safety cases and assurance artifacts.
  • Review and interpret large-scale test, simulation, and field data to identify safety-relevant trends, failure modes, and emergent behaviors in agentic systems.
  • Clearly document assumptions, limitations, and conclusions to support internal decision-making and external review.
  • Provide technical guidance and mentoring to engineers and analysts on sound statistical practices for safety-critical applications.
  • Support post-deployment monitoring, re-validation, and change impact assessment as AI systems evolve.

What You Have:
  • Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
    • Significant experience applying statistical methods to complex, real-world systems where safety, risk, or reliability are critical.
    • Strong foundation in statistical inference, experimental design, and uncertainty analysis.
    • Experience with Bayesian methods, reliability engineering, rare-event estimation, and analysis of non-stationary data
  • Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
  • Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
  • Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
  • Bachelor's Degree in Statistics, Applied Mathematics, Data Science or related quantitate discipline.

Consideration for Top Candidates:
  • Advanced Degree in Statistics, Applied Mathematics, Data Science or related quantitate discipline.
  • Experience working with AI, machine learning, autonomous, or agentic systems.
  • Familiarity with functional safety standards and/or SOTIF concepts.
  • Experience with Earth-Moving Machinery Products
  • Experience contributing statistical evidence to safety cases, assurance cases, or regulatory submissions.
  • Background in safety-critical industries such as autonomy, robotics, automotive, aerospace, industrial systems, or medical devices.
  • Demonstrated ability to communicate complex statistical concepts to non-statistical stakeholders.

Additional Information:
  • This position requires the candidate to work full-time at the Pittsburgh, PA office.
  • Alternative locations are Mossville IL, Irving TX, and Tucson AZ.
  • Domestic relocation assistance is available for this position.
  • Visa sponsorship is available with this position.
  • This position will require up to 10% travel
  • #LI

Summary Pay Range:
$112,710.00 - $183,140.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
  • Medical, dental, and vision benefits*
  • Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
  • 401(k) savings plans*
  • Health Savings Account (HSA)*
  • Flexible Spending Accounts (FSAs)*
  • Health Lifestyle Programs*
  • Employee Assistance Program*
  • Voluntary Benefits and Employee Discounts*
  • Career Development*
  • Incentive bonus*
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement

* These benefits also apply to part-time employees
This position requires working onsite five days a week.
Relocation is available for this position.
Visa sponsorship is available for eligible applicants.
Posting Dates:
June 5, 2026 - June 16, 2026
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.

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