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Statistics Validator Jobs in Utah (NOW HIRING)

Data Scientist

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

Complete familiarity with various statistical and machine learning techniquesincluding ... validation, leave-one-out testing * Understanding of orders of algorithms and how they scale

Data Scientist

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

Complete familiarity with various statistical and machine learning techniques including ... validation, leave-one-out testing * Understanding of orders of algorithms and how they scale

Data Scientist

Lehi, UT

  • Medical

  • Retirement

  • PTO

Complete familiarity with various statistical and machine learning techniquesincluding ... validation, leave-one-out testing * Understanding of orders of algorithms and how they scale

Manager, Data Science & Modeling

South Jordan, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Scientists build and maintain machine learning and statistical models that address key ... validation, documentation, deployment, and user enablement. * Administer a rigorous model ...

Resource Geologist

Cedar City, UT · On-site

$120K - $140K/yr

  • Medical

  • Dental

  • Life

  • PTO

... validation to modeling, reconciliation, technical reporting, and operational execution. Key ... Run variogram and statistical analysis in support of QA/QC and resource model requirements.

... and validating results will be common tasks for this role • Understands, organizes, and ... Required : • Complete familiarity with various statistical and machine learning techniques ...

Data Scientist III

West Valley City, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Building and validating a variety of statistical models, providing analytic support, and developing new criteria and/or strategies. What you'll need to succeed: * Ability to generate robust ...

Data Scientist III

West Valley City, UT · On-site

$90 - $120/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Building and validating a variety of statistical models, providing analytic support, and developing new criteria and/or strategies. * Experimental Design and Evaluation: Design and implement ...

Sr. Data Scientist

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

Complete familiarity with various statistical and machine learning techniques including ... validation, leave-one-out testing * Understanding of orders of algorithms and how they scale

Sr. Data Scientist

Lehi, UT · On-site

$80 - $120/hr

  • Medical

  • Retirement

  • PTO

... validating results. * Understand, organize, and communicate root causes of problems and successes succinctly. What You'll Need * Complete familiarity with statistical and machine‑learning ...

Sr. Data Scientist

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

... validating results will be common tasks for this role * Understands, organizes, and ... Complete familiarity with various statistical and machine learning techniquesincluding ...

Sr. Data Scientist

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

... validating results will be common tasks for this role * Understands, organizes, and ... Complete familiarity with various statistical and machine learning techniquesincluding ...

Showing results 41-60

Statistics Validator information

What is a statistics validator?

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.

How do you become a statistics validator?

To become a statistics validator, candidates typically need a bachelor's degree in statistics, mathematics, or a related field, along with strong analytical skills and experience with data analysis tools like Excel or statistical software. Gaining experience through internships or entry-level roles in data validation or quality assurance can also be beneficial. Certifications such as the Certified Data Management Professional (CDMP) or relevant training can enhance qualifications for this role.

Is a statistics validator job in demand?

Statistics validator roles are in steady demand across industries that rely on data accuracy, such as finance, healthcare, and research organizations. These positions often require strong analytical skills and familiarity with statistical software, with demand driven by the increasing importance of data integrity and quality assurance.

What are popular job titles related to Statistics Validator jobs in Utah?

For Statistics Validator jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Statistics Validator jobs in Utah look for?

The top searched job categories for Statistics Validator jobs in Utah are:

What cities in Utah are hiring for Statistics Validator jobs?

Cities in Utah with the most Statistics Validator job openings:

Infographic showing various Statistics Validator job openings in Utah as of August 2026, with employment types broken down into 72% Full Time, 12% Part Time, 4% Temporary, and 12% Contract. Highlights an 100% In-person job distribution.

Senior Quality Engineer - NPI (Onsite)

Stryker

Salt Lake City, UT • On-site

$81K - $136K/yr

Full-time

Posted 23 days ago


Job description

Work Flexibility: Onsite

Stryker is hiring aSenior Quality Engineer - New Product Introduction (NPI)to supportour Neurovascular division. This is an onsite role based in Salt Lake City, UT.

As the Senior Quality Engineer - NPI, you will collaborate across functions to provide quality assurance support for all aspects of New Product Introductions, focusing on long-term strategies for Quality, Risk Management, Inspection & Testing, and Suppliers to ensure product competitiveness and compliance with domestic and international regulations.

What You Will Do
  • Support risk management activities by maintaining Risk Management Files, conducting process FMEAs, implementing risk controls, and evaluating process risks throughout the product lifecycle.

  • Ensure compliance with ISO 14971 requirements and contribute to Critical-to-Quality identification, design risk assessments, and risk management documentation.

  • Develop and execute validation strategies, including Installation Qualification (IQ), Measurement System Analysis (MSA), Operational Qualification (OQ), and Performance Qualification (PQ).

  • Support Production Part Approval Process (PPAP), process validation, test method validation, and First Article Inspection activities for new product introduction projects.

  • Implement inspection and validation approaches that support scalable, compliant, and cost-effective manufacturing processes.

  • Apply statistical methods, process capability analysis, and quality engineering tools to strengthen process performance and support nonconformance and corrective action activities for new products.

  • Collaborate with suppliers by supporting qualification strategies, reviewing validation activities, and providing quality input for supplier selection, certification, and quality agreements.

  • Represent Quality Assurance during design transfer activities, monitor launch quality metrics such as right-first-time performance, inspection costs, and product escape rates, and provide post-launch quality support.

What You Need

Required

  • Bachelor's degree in Engineering, Science, or a related technical field

  • Minimum 2 years of full-time work experience in Quality Assurance, Quality Engineering, Design Transfer, Manufacturing Engineering, or related functions within the medical device industry

  • Minimum 2 years of full-time work experience in a regulated industry environment

Preferred

  • Minimum 2 years of experience in an engineering role within the medical device industry

  • ASQ Certified Quality Engineer (CQE) and/or Certified Quality Auditor (CQA) certification

  • Experience working with ISO 13485 and ISO 14971 standards

  • Experience with process validation, test method validation, FMEA, statistical analysis, process capability studies, and Measurement System Analysis (MSA)

  • Experience applying Lean Six Sigma DMAIC methodologies to process improvement initiatives

  • US5: $81,600 - $136,000 USD Annual
Travel Percentage: 20%Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.