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Statistics Validator Jobs in Portland, OR (NOW HIRING)

A-dec, Inc.

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Applied statistics and model evaluation skills, including experiment design and statistical validation, to ensure reliable and unbiased AI driven decision support and forecasting. * Experience ...

A-dec, Inc.

AI Engineer, Sr

Newberg, OR

$109K - $150K/yr

Applied statistics and model evaluation skills, including experiment design and statistical validation, to ensure reliable and unbiased AI driven decision support and forecasting. * Experience ...

Varsity Tutors

Machine Learning Tutor

Portland, OR · Remote

$18 - $40/hr

... validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ... introductory statistics-based ML through advanced deep learning and deployment. * Effective ...

Aquent

Lead Materials Process Engineer

Beaverton, OR · On-site

$33.60 - $37.33/hr

Develop and implement process controls, operating windows, validation plans, and engineering standards * Apply statistical methods including Statistical Process Control (SPC), Design of Experiments ...

Hp

Print Supplies Big Data Analyst

Vancouver, WA

$105K - $161K/yr

... statistical analysis, or a related field. Knowledge & Skills Analytics and problem solving: exploratory analysis, root-cause analysis, metric design, data validation, anomaly detection, and ability ...

AZAD Technology Partners

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

Manipulating data sets, querying databases, and building statistical models Statistical or data ... Valid U.S. Driver's License or RealID is required. Preferred Skills: Knowledge of GIS and Asset ...

Azad, Inc

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

Manipulating data sets, querying databases, and building statistical models Statistical or data ... Valid U.S. Driver's License or RealID is required. Preferred Skills: Knowledge of GIS and Asset ...

SMC Region USC

Senior Systems Engineer

Tualatin, OR

$108K - $148K/yr

... statistical analysis methodologies preferred * Proficiency with SolidWorks and Product Data Management (PDM) systems * Experience developing and executing system validation and troubleshooting ...

Orchid MPS Holdings, LLC

Quality Engineer

Oregon City, OR · On-site

$77K - $99K/yr

Plans and/or conducts process and equipment validations and special validations including ... Statistical Analysis and Measurement - Working Experience * Production Part Approval Process (PPAP ...

Lumencor

Cell-Based Assay Scientist

Beaverton, OR · On-site

$36.75 - $46/hr

Carry out cell-based assays directed towards validation of Lumencor hardware and reagents.Produce data, carry out statistical analysis and state conclusions. Prepare drafts for publication. * Provide ...

Lumencor

Cell-Based Assay Scientist

Beaverton, OR · On-site

$36.75 - $46/hr

Carry out cell-based assays directed towards validation of Lumencor hardware and reagents.Produce data, carry out statistical analysis and state conclusions. Prepare drafts for publication. * Provide ...

Sandvik

Senior Systems Engineer

Tualatin, OR · On-site

$108K - $148K/yr

... statistical analysis methodologies preferred * Proficiency with SolidWorks and Product Data Management (PDM) systems * Experience developing and executing system validation and troubleshooting ...

Columbia

Principal Data Scientist

Portland, OR

Collaborate with Data Engineers to validate source data and develop data pipelines that feed into machine learning workflows * Translate analytical findings and statistical models into measures of ...

Hp

Big Data Laser Analyst

Vancouver, WA · On-site

Education & Experience Recommended Four-year or Graduate Degree in Mathematics, Statistics ... validation, and automation. Familiar with VSCode and Databricks Ideally Ability to interpret ...

Sandvik

Applications Engineer - Metrology

Tualatin, OR · On-site

Perform statistical analysis, measurement system analysis (MSA), and R&R studies * Measure and validate dimensional data using contact and non-contact tools * Analyze measurement results against ...

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Showing results 1-20

All JobsStatistics Validator JobsStatistics Validator Jobs in Portland, OR

Statistics Validator information

See Portland, OR salary details

$43K

$88.7K

$124.1K

How much do statistics validator jobs pay per year?

As of Aug 1, 2026, the average yearly pay for statistics validator in Portland, OR is $88,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $123,000.00 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 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 Portland, OR? For Statistics Validator jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Statistics Validator jobs in Portland, OR look for? The top searched job categories for Statistics Validator jobs in Portland, OR are:
What cities near Portland, OR are hiring for Statistics Validator jobs? Cities near Portland, OR with the most Statistics Validator job openings:
Statistics Validator jobs near you
Infographic showing various Statistics Validator job openings in Portland, OR as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $88,718 per year, or $42.7 per hour.

AI Engineer, Sr

A-dec, Inc.

Newberg, OR • On-site

$109K - $150K/yr

Full-time

Re-posted 23 days ago

A-dec rating

8.8

Company rating: 8.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

2nd of 51 rated furniture manufacturers

Job description

At A-dec, we do more than create the highest quality products and services for the dental industry; we strive to deliver a superior employment experience for each of our team members. With an environment that encourages and assists each person in developing to their highest potential, a career at A-dec is incredibly rewarding.
Overview
The AI Engineer, Sr plays a key role in building and scaling applied artificial intelligence capabilities across the organization. This role focuses on delivering practical AI solutions that drive automation, improve decision making, and enable predictive insights across business functions such as supply chain, finance, operations, sales, and customer service.
The AI Engineer, Sr will design, build, and deploy AI powered systems including predictive models, forecasting solutions, and agentic AI workflows. This is a hands-on engineering role that partners closely with business and technology teams to turn real world problems into scalable AI solutions. The role emphasizes production ready systems, responsible AI use, and measurable business impact rather than academic research.
JOB DUTIES AND RESPONSIBILITIES:
  • Design, develop, validate and deploy AI driven solutions that support automation, predictive analytics, forecasting, and decision support across the business
  • Build and maintain machine learning models and AI services used in production environments
  • Design and orchestrate multi agent AI systems, including LLM based agents, agent routing and collaboration, and MCP enabled data and tool APIs for secure, scalable enterprise workflows
  • Build and optimize LLM capabilities using retrieval augmented generation, model fine tuning, and interface integration to deliver reliable, high quality AI outputs in production environments
  • Integrate AI capabilities with existing enterprise systems such as ERP, CRM, data platforms, and workflow tools
  • Implement data pipelines and feature engineering processes to support reliable model training and inference
  • Evaluate and integrate third party AI platforms, APIs, and tools where appropriate
  • Establish best practices for model deployment, monitoring, performance tuning, and lifecycle management
  • Support enterprise data governance by partnering with data owners to define data contracts and ensure data quality and consistency across pipelines
  • Ensure AI solutions meet security, privacy, and responsible AI standards
  • Collaborate with software engineers, data engineers, and IT teams to ensure scalable and maintainable implementations
  • Measure and communicate business impact of AI solutions using clear metrics and outcomes
  • Document system designs, models, and operational processes to support knowledge sharing and scalability
  • Manages, leads, and/or assists various new or sustaining technology projects; performs light project management duties as required.
  • Stay current with applied AI trends and recommend practical innovations that align with business goals

QUALIFICATIONS:
Knowledge, Skills, and Abilities
  • Programming languages:
    • Python for building AI models, automation, and production services
    • SQL for working with structured data used in analytics, forecasting, and model inputs
  • Technical Skills:
    • Strong understanding of data pipelines, feature engineering, and data quality fundamentals
    • Experience integrating AI solutions with existing enterprise systems using APIs
    • Familiarity with cloud-based AI services and deployment patterns
    • Applied model evaluation and testing expertise, including prompt testing, experimentation and A/B testing, system integration testing and production monitoring.
    • Experience optimizing costs for LLMs and agentic systems in cloud environments, including inference efficiency, token usage, and model selection tradeoffs
    • Understanding of software engineering best practices including version control, testing, and documentation
    • Knowledge of security, privacy, and responsible AI considerations in business environments
  • Preferred Programming Languages:
    • JavaScript or TypeScript for integrating AI capabilities into web applications or internal tools
    • Bash or shell scripting for automation and deployment tasks
  • Preferred Technical Skills:
    • Experience with agentic AI frameworks or orchestration tools such as LangChain, LlamaIndex, AutoGen, or MCP based patterns
    • Experience with cloud platforms such as Azure, AWS or GCP beyond basic usage
    • Familiarity or experience with Dynamics 365, Snowflake and Microsoft Fabric
    • Familiarity with MLOps practices including model monitoring, versioning, and lifecycle management
    • Experience with data pipeline and workflow tools such as Airflow, dbt, or cloud native orchestration services
    • Applied statistics and model evaluation skills, including experiment design and statistical validation, to ensure reliable and unbiased AI driven decision support and forecasting.
    • Experience evaluating and integrating third party AI platforms or vendors
    • Exposure to automation platforms, RPA tools, or workflow engines where AI is embedded into business processes
    • Familiarity with emerging AI regulations and auditability techniques
    • Ability to mentor or guide others on applied AI best practices

Education and Experience
  • Bachelor's degree in computer science, engineering, data science, mathematics, or a related technical field, or equivalent practical experience
  • Successful candidates typically possess over 8 years of relevant professional or technical engineering experience of increasing responsibility and difficulty of assignments.
  • Experience building and deploying applied AI or machine learning solutions in production environments
  • Hands on experience with at least one machine learning framework such as scikit learn, PyTorch, or TensorFlow
  • Practical experience using large language models via APIs for real world business use cases
  • Experience designing and implementing AI driven automation or agentic workflows

Disclaimer
This job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not to be construed as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. A-dec reserves the right to assign job duties and days and hours of work based on factors such as workload requirements, staffing levels, and customer demands.
At A-dec, we value our people and show it by prioritizing an inclusive culture, total well-being, and opportunities for learning and career advancement.
A background check and screen for the illegal use of drugs is required.
A-dec is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. In addition, A-dec will not discriminate against applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another. *VEVRAA Federal Contractor"
A-dec is interested in qualified candidates authorized to work in the United States for US-based positions. We are unable to sponsor or take over sponsorship of employment visas.

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