ZipRecruiter

Log In

1

Statistics Validator Jobs in Seattle, WA (NOW HIRING)

Think Tank, Inc.

Statistician

Seattle, WA

... statistics and mark-recapture methods is strongly preferred. * Advanced degree in a related field - may substitute for two (MS) or four (PhD) years of experience CERTIFICATIONS: Required: * Valid U.S ...

Think Tank, Inc.

Statistician

Seattle, WA · On-site

... statistics and mark-recapture methods is strongly preferred.Advanced degree in a related field - may substitute for two (MS) or four (PhD) years of experience CERTIFICATIONS:Required:Valid U.S ...

SystImmune, Inc

Statistical Programmer

Redmond, WA · On-site

$80K - $100K/yr

Generate and/or validate SDTM and ADaM datasets, including associated Define.xml and reviewer ... Master's degree or higher in Biostatistics, Statistics, Mathematics, or a related scientific ...

SystImmune, Inc.

Statistical Programmer

Redmond, WA · On-site

$80 - $100/hr

Generate and/or validate SDTM and ADaM datasets, including associated Define.xml and reviewer ... Master's degree or higher in Biostatistics, Statistics, Mathematics, or a related scientific ...

SystImmune, Inc

Statistical Programmer

Redmond, WA · On-site

$80K - $100K/yr

Generate and/or validate SDTM and ADaM datasets, including associated Define.xml and reviewer ... Master's degree or higher in Biostatistics, Statistics, Mathematics, or a related scientific ...

Systimmune

Statistical Programmer

Redmond, WA · On-site

$80K - $100K/yr

Generate and/or validate SDTM and ADaM datasets, including associated Define.xml and reviewer ... Master's degree or higher in Biostatistics, Statistics, Mathematics, or a related scientific ...

Systimmune

Statistical Programmer

Redmond, WA · On-site

$80K - $100K/yr

Generate and/or validate SDTM and ADaM datasets, including associated Define.xml and reviewer ... Master's degree or higher in Biostatistics, Statistics, Mathematics, or a related scientific ...

WSP

Senior Chemist/Data Validator

Redmond, WA · On-site

$100 - $125/hr

Experience reviewing laboratory case narratives, data validation packages, electronic data ... Experience in environmental forensics, source identification, or statistical evaluation of chemical ...

Apply

Data Scientist ll - Digital Intelligence

Seattle, WA · On-site

$150 - $200/hr

Solid understanding of supervised learning, unsupervised learning, feature engineering, model evaluation, statistical validation, and experiment analysis. * Ability to work with noisy data, imperfect ...

next page

Showing results 1-20

All JobsStatistics Validator JobsStatistics Validator Jobs in Seattle, WA

Statistics Validator information

See Seattle, WA salary details

$46.1K

$95.2K

$133.1K

How much do statistics validator jobs pay per year?

As of Sep 8, 2026, the average yearly pay for statistics validator in Seattle, WA is $95,203.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,900.00 and $132,000.00 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 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.

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.

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 familiarity with data validation techniques and obtaining relevant certifications, such as the Certified Data Management Professional (CDMP), can enhance qualifications for this role.

Is a statistics validator job in demand?

Statistics validator roles are in demand in industries such as finance, healthcare, and research, where data accuracy is critical. These jobs often require strong analytical skills and proficiency with statistical software, and demand is expected to grow as data-driven decision-making increases across sectors.

What are popular job titles related to Statistics Validator jobs in Seattle, WA?

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

What job categories do people searching Statistics Validator jobs in Seattle, WA look for?

The top searched job categories for Statistics Validator jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Statistics Validator jobs?

Cities near Seattle, WA with the most Statistics Validator job openings:

Statistics Validator jobs near you
Infographic showing various Statistics Validator job openings in Seattle, WA as of September 2026, with employment types broken down into 68% Full Time, 19% Part Time, 6% Temporary, and 7% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $95,203 per year, or $45.8 per hour.

Statistician

Think Tank, Inc.

Seattle, WA

Full-time

Re-posted yesterday

Job description

*Position is Subject to Contract Award

POSITION DESCRIPTION:

Description of Duties:

  • Provide statistical analysis to inform management decisions.
  • Statistically analyze spatial and temporal variability in processes experienced by migrating salmon in river systems, especially survival and migration patterns through hydropower systems and across life cycles.
  • Analyze and generate relationships between fish responses (density, growth, survival, migration rate) and stressors in particular life stages.
  • Develop novel probabilistic mathematical and simulation models representing complex ecological and behavioral processes with modern statistical methods.
  • Provide statistical support to other researchers during study design and analysis; organize and curate ecological datasets relevant to mark-recapture modeling.
  • Document and share reproducible workflows and analytical protocols; publish reports and scientific papers and present at regional/national meetings and conferences.
  • Assist with field collection of fish and environmental data as needed (may involve riding in vehicles and/or boats).

EDUCATION & EXPERIENCE:

Required:

  • Education: PhD from an accredited college/university with a major related to the task order, with emphasis in statistics, mathematics, fisheries, ecology, or the natural sciences. Must have a strong quantitative background with a solid foundation and extensive coursework in statistics and probability.
  • Experience: Ten (10) or more years of experience related to the task order, including familiarity with the species and habitats managed by NOAA Fisheries in the West Coast region.

Desired:

  • Knowledge and experience in Bayesian statistics and mark-recapture methods is strongly preferred.
  • Advanced degree in a related field - may substitute for two (MS) or four (PhD) years of experience

CERTIFICATIONS:

Required:

  • Valid U.S. driver's license - required and maintained throughout the period of performance.
  • Public trust suitability; background investigation cleared prior to beginning performance.
  • Government-required training to be completed within 5 business days of start: NOAA IT Security, NOAA Safety, Sexual Assault/Sexual Harassment Prevention & Response (NAM 1330-52.222-70(b)(6)), and Records Management 101.

RESPONSIBILITIES:

Required (Deliverables):

  • All analyses conducted with accepted methods and QA/QC.
  • Reproducible analytical workflows documented; statistical scripts and methodologies shared via open-science platforms (e.g., GitHub).
  • Analysis products archived accessibly; final data and models shared via public scientific repositories or interactive research dashboards.
  • Published scientific papers and reports; regular communication with team members.
  • Written status reports and other ad hoc communications; participation in field tasks as needed.

SKILLS: 

Required:

  • Extensive experience in statistical modeling and data analysis; extensive experience conducting analyses and coding in R.
  • Experience with programs Stan and JAGS; experience with open-science concepts.
  • Strong computational skills, including ability to manipulate large environmental datasets within a command-line environment (e.g., Linux/shell scripting).
  • Familiarity interpreting or interfacing with C or C++ code within a scientific modeling context; familiarity with Google Suite and Microsoft Office.

Excellent verbal and written communication; experience writing reports and publishing peer-reviewed articles; able to work independently and on interdisciplinary teams

Apply