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Statistics Validator Jobs in Sandy, UT (NOW HIRING)

Demonstrated experience driving component testing, test method validations, and testing/validating equipment. * Experience with statistical techniques and tools such as Gage R&R, Statistical Process ...

Senior Supplier Quality Engineer

Draper, UT ยท On-site

$61.67 - $66.67/hr

Demonstrated experience driving component testing, test method validations, and testing/validating equipment. Experience with statistical techniques and tools such as Gage R&R, Statistical Process ...

Demonstrated experience driving component testing, test method validations, and testing/validating equipment. * Experience with statistical techniques and tools such as Gage R&R, Statistical Process ...

Data Scientist

Lehi, UT ยท On-site

$90 - $120/hr

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

... statistical software programs. You will be expected to keep up with industry standards, doing ... Validate, test, and iterate on models to ensure performance and accuracy. * Evaluate alternative ...

Data Scientist

Lehi, UT ยท On-site

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 ยท On-site

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 ยท On-site

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

Showing results 21-40

Statistics Validator information

See Sandy, UT salary details

$38.5K

$79.5K

$111.2K

How much do statistics validator jobs pay per year?

As of Aug 15, 2026, the average yearly pay for statistics validator in Sandy, UT is $79,495.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,200.00 and $110,200.00 per year, depending on experience, location, and employer.

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 cities near Sandy, UT are hiring for Statistics Validator jobs?

Cities near Sandy, UT with the most Statistics Validator job openings:

Infographic showing various Statistics Validator job openings in Sandy, UT as of August 2026, with employment types broken down into 71% Full Time, 14% Part Time, 4% Temporary, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $79,495 per year, or $38.2 per hour.

Senior Climate Analytics Specialist

ICF International, Inc.

Salt Lake City, UT โ€ข On-site

$84K - $103K/yr

Full-time

Re-posted 13 hours ago


Job description

Title: Senior Climate Analytics Specialist
Preferred Locations: Salt Lake City, UT | New York City, NY | Crystal City, VA
Are you ready to make a difference?
ICF is seeking a Senior Climate Analytics Specialist with strong scientific programming and cloud-based, big data experience to support our broad portfolio of work on climate risk and resilience. Our projects span across commercial clients and all levels of government, enhancing the resilience of energy, transportation, and other critical infrastructure systems, and the vital societal and natural elements that make our communities whole. Our climate risk analytics leverage rigorous science, machine learning, distributed computing, and provide clear communication to enable proactive planning and implementation of resilience solutions.
The consultant chosen for this position will apply advanced analytics to the analysis and interpretation of weather and climate data, contribute to the development of climate risk tools and products, and support multi-disciplinary teams on multiple short- and long-term projects. This role is ideal for candidates interested in applying advanced analytics and machine learning to novel, high-impact problems where traditional modeling approaches are insufficient and new methods must be developed.
The preferred locations for this position are Salt Lake City, New York City, or Crystal City, VA.
Why you will love working here:
  • Quality of life: Flexible workplace arrangements, work-life balance
  • Investment of the community: Donation matching, volunteer opportunities
  • Investment in you: Tuition reimbursement, access to professional development resources, 401kmatching, Employee Stock Purchase Plan
  • And many, many more (Ask your recruiter for more details!)

What you'll be doing...
  • Serve as a technical expert on multi-disciplinary teams focused on applied climate risk and resilience projects
  • Use scientific programming, cloud-based distributed computing, and large-scale geospatial data processing to advance climate analytics and products
  • Translate complex climate risk questions into tractable analytical and modeling frameworks, selecting appropriate statistical, machine learning, and physics-informed approaches
  • Design, train, and rigorously validate machine learning and statistical models in data-limited and non-stationary climate contexts
  • Interface with clients on climate risk and resilience topics, and prepare high-quality communication materials such as presentations and reports
  • Complete tasks in fast-paced and self-motivated environment in a timely and efficient manner

What you'll need to have...
  • Bachelor's Degree in climate science, atmospheric science, Earth science, data science, meteorology, or similar
  • 5+ years of relevant experience applying advanced analytics to climate, geospatial, or environmental data
  • 2+ years of experience with Python for processing and analyzing large, multidimensional datasets (e.g., NetCDF, Zarr), including use of Pangeo ecosystem tools such as Xarray and Dask
  • Demonstrated experience designing and implementing scalable, cloud-based workflows for large geospatial and climate datasets, including parallel processing, memory-aware computation, and reproducible pipelines (e.g., AWS, SageMaker)
  • Demonstrated experience applying machine learning and statistical models to climate science, risk analysis, or related topics, using relevant Python packages (e.g., scikit-learn, PyTorch, etc.)

Our Preferred Skills/Experience...
  • Advanced degree in climate science, atmospheric science, Earth science, data science, meteorology, or similar
  • Ability to perform self-directed analytical work related to climate science topics and physical climate risk pertaining to energy systems, transportation networks, or other sectors
  • Experience working with extreme events, tail risks, or rare-event modeling in environmental or geospatial contexts
  • Outstanding oral and written communication skills; ability to communicate complex climate information to non-scientists to inform decision-making
  • Experience working with and leading multi-disciplinary teams
  • Organized, detail oriented, and the ability to prioritize and multi-task

Working at ICF
ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.
We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.
We will consider for employment qualified applicants with arrest and conviction records.
Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.
Candidate AI Usage Policy
At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.
However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.
Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.
The pay range for this position based on full-time employment is:
$81,499.00 - $138,549.00
Nationwide Remote Office (US99)