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Statistics Jobs in Seattle, WA (NOW HIRING)

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$46.1K

$95.3K

$133.2K

How much do statistics jobs pay per year?

As of Sep 3, 2026, the average yearly pay for statistics in Seattle, WA is $95,257.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,900.00 and $132,100.00 per year, depending on experience, location, and employer.

What are statistics jobs?

Statistics jobs involve collecting, analyzing, interpreting, and presenting quantitative data to help organizations make informed decisions. Professionals in this field use mathematical techniques and statistical software to identify trends, solve problems, and provide insights across various industries, such as healthcare, finance, government, and technology. Common statistics roles include statistician, data analyst, biostatistician, and research analyst. These positions often require strong analytical skills and a solid background in mathematics or statistics.

What are the qualifications to get a job in statistics?

The qualifications to get a job in statistics include a bachelor’s or master’s degree. Depending on your field of interest, relevant areas of study may include statistics, math, accounting, political science, information sciences, biostatistics, computer science, and economics. Common duties of a statistician in any field are to collect data through surveys or other methods, analyze data, make any relevant observation, and present reports. Strong computer literacy skills, knowledge of programming languages such as R and Python, and familiarity with statistical analysis software are essential in this career.

What are the key skills and qualifications needed to thrive as a statistician, and why are they important?

To thrive as a Statistician, you need a strong background in mathematics, statistical theory, and data analysis, typically supported by a degree in statistics or a related field. Proficiency with statistical software such as R, SAS, Python, or SPSS, along with familiarity with data visualization tools, is commonly required. Analytical thinking, attention to detail, and the ability to communicate complex findings clearly are crucial soft skills. These abilities ensure accurate data interpretation and effective communication of insights to support informed decision-making.

What are some common challenges statisticians face when communicating complex data findings to non-technical stakeholders?

Statisticians often encounter the challenge of translating intricate data analyses and statistical concepts into clear, actionable insights for audiences without technical backgrounds. It requires strong communication skills to avoid jargon and to present results in a visually engaging, accessible manner. Collaborating with colleagues in marketing, product, or management roles helps ensure that the findings inform decision-making effectively. Practicing storytelling with data and using relatable examples can greatly improve understanding and impact.

What kind of jobs can you get with statistics?

A degree or background in statistics can lead to roles such as data analyst, statistician, data scientist, quality analyst, or research analyst. These jobs typically require skills in data analysis, statistical software, and critical thinking, and are common in industries like healthcare, finance, marketing, and government agencies.
More about Statistics jobs

What are the most commonly searched types of Statistics jobs in Seattle, WA?

The most popular types of Statistics jobs in Seattle, WA are:

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

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

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

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

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

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

Statistics jobs near you
Infographic showing various Statistics job openings in Seattle, WA as of August 2026, with employment types broken down into 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $95,257 per year, or $45.8 per hour.

Data Scientist (Statistician) - Direct Hire

US Department of the Treasury

Tacoma, WA

$125K/yr

Full-time

Posted 7 days ago

U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

312th of 855 rated public administrative organizations

Job description

WHAT IS LARGE BUSINESS AND INTERNATIONALDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position is to be filled in the following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.


REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Qualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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