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Statistics Validator Jobs in Bothell, WA (NOW HIRING)

Design and execute experiments to validate product quality and investigate HW/SW issues. Design and ... optics, statistics, and polarization Experience in statistical methods for data analytics ...

Design and execute experiments to validate product quality and investigate HW/SW issues. Design and ... optics, statistics, and polarization Experience in statistical methods for data analytics ...

... validate detections and improve defensive capabilities. • Analyze telemetry generated from ... Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field. * OR ...

To meet this legal requirement, and as a condition of employment, the successful candidate's citizenship will be verified via a valid passport. Preferred Qualifications: * Doctorate in Statistics ...

Courier

Seattle, WA

$22 - $23.55/hr

Adhere to a timed and STAT delivery schedule and determine priority of STAT calls * Maintain a log ... Valid Driver's License and good driving record are required * Working knowledge of Microsoft Word ...

Courier

Seattle, WA · On-site

$21.30/hr

Adhere to a timed and STAT delivery schedule and determine priority of STAT calls * Maintain a log ... Valid Driver's License and good driving record are required * Working knowledge of Microsoft Word ...

Courier

Seattle, WA · On-site

$22 - $23.55/hr

Adhere to a timed and STAT delivery schedule and determine priority of STAT calls * Maintain a log ... Valid Driver's License and good driving record are required * Working knowledge of Microsoft Word ...

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Statistics Validator information

See Bothell, WA salary details

$45.3K

$93.5K

$130.8K

How much do statistics validator jobs pay per year?

As of Jul 2, 2026, the average yearly pay for statistics validator in Bothell, WA is $93,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $129,700.00 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 job categories do people searching Statistics Validator jobs in Bothell, WA look for? The top searched job categories for Statistics Validator jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Statistics Validator jobs? Cities near Bothell, WA with the most Statistics Validator job openings:
Sr. Product Manager-Tech, Amazon Devices Demand Planning, Marketing Measurement

Sr. Product Manager-Tech, Amazon Devices Demand Planning, Marketing Measurement

Amazon

Seattle, WA • On-site

$137K - $180K/yr

Full-time

Posted 4 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,921 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

We are seeking a Senior Product Manager - Technical to revolutionize marketing measurement experimentation within the Demand Science Optimization (DSO) organization. You will build and lead Amazon's first centralized marketing experimentation program for Devices and Services, establishing a global program that measures marketing incrementality through randomized controlled trials (RCTs), validates econometric models, and optimizes marketing spend across 50+ products in 10+ countries (Ring, Blink, Alexa, Kindle, Leo, etc.).
Key job responsibilities
As Senior Product Manager - Technical, you own the experimentation program's vision, strategy, and execution end-to-end. You will lead a cross-functional team of engineers, data scientists, and economists, while serving as a key strategic partner to leadership

This role is highly visible.
Build the Experimentation Program from the Ground Up
Define the vision, tenets, strategy, and multi-year roadmap for centralized marketing experimentation
Balance short-term execution with long-term vision (establishing experimentation as a core D&S competency)
Drive Rigorous Automated Experiment Design and Execution
Partner with PL marketers across paid search, display, social, video, TV, and owned media to design statistically rigorous RCTs
Own experiment prioritization, design quality, and execution standards globally
Partner with economists to define what constitutes valid RCTs, create templates, develop power calculation guidelines, and establish quality bars
Build relationships with PL marketing leaders to demonstrate experimentation value
Build Automated Workflows and Tooling
Develop self-service tools enabling marketing teams to set up experiments, configure randomization logic, and launch tests across platforms
Create pre-flight validation preventing common design mistakes
Implement monitoring systems tracking experiment progress, detecting data quality issues, and alerting when tests reach statistical significance
Build insights reporting that summarizes results, validates model predictions, and provides optimization recommendations
Collaborate Across Workstreams
Partner with our Incrementality Modeling and Spend Optimization team to influence how experiment results calibrate incrementality models
Work with our Data Infrastructure team to ensure experiment data flows into pipelines and reporting
Translate complex statistical concepts into actionable product requirements
Drive Operational Excellence
Implement metrics tracking experiment velocity, quality, and impact
Establish regular business reviews with senior leadership to communicate progress and escalate blockers
Manage resource planning and prioritization, making trade-offs between building new capabilities and maintaining existing systems
Navigate technical complexity, organizational dependencies across four workstreams, and competing stakeholder priorities
Your product requirements are concise with clear, measurable success criteria. You negotiate effectively, make smart trade-offs without sacrificing quality, and drive appropriate schedules. You use data to influence business strategy and technical priorities, escalating when necessary without damaging relationships

You are comfortable communicating with senior executives and technical stakeholders across D&S.


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Benefits

Hours and flexibility

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US