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Statistics Jobs in Seattle, WA (NOW HIRING)

Think Tank, Inc.

Statistician

Seattle, WA

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 ...

Think Tank, Inc.

Statistician

Seattle, WA · On-site

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 ...

Think Tank, Inc.

Statistician

Seattle, WA · On-site

*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 ...

SystImmune, Inc

Statistical Programmer

Redmond, WA · On-site

$80K - $100K/yr

Master's degree or higher in Biostatistics, Statistics, Mathematics, or a related scientific discipline, with 0-2 years of experience in statistical programming within the pharmaceutical/biotech ...

Systimmune

Statistical Programmer

Redmond, WA · On-site

$80K - $100K/yr

Master's degree or higher in Biostatistics, Statistics, Mathematics, or a related scientific discipline, with 0-2 years of experience in statistical programming within the pharmaceutical/biotech ...

Exponent

Statistical Scientist (Ph.D.)

Bellevue, WA · On-site

D. in Statistics, Biostatistics, or a related field • Excellent communication skills and the ability to communicate statistical concepts to non-technical audiences • Experience or capabilities in ...

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All JobsStatistics JobsStatistics Jobs in Seattle, WA

Statistics information

See Seattle, WA salary details

$46.1K

$95.2K

$133.1K

How much do statistics jobs pay per year?

As of Jul 31, 2026, the average yearly pay for statistics in Seattle, WA is $95,202.00, 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 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 tools like R, Python, or SQL and often involve interpreting data to support decision-making across various industries.

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 jobs are there in statistics?

Jobs in statistics include roles such as statistician, data analyst, data scientist, biostatistician, and research analyst. These positions typically require strong analytical skills, proficiency with statistical software like R or SAS, and often a degree in statistics, mathematics, or a related field.

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.

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 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.

Is AI replacing statisticians?

AI is transforming the role of statisticians by automating data analysis tasks and enabling more complex modeling, but it does not fully replace the need for human expertise in interpreting results, designing studies, and making strategic decisions. Statisticians who develop skills in machine learning, programming, and data management remain essential in leveraging AI tools effectively. The profession continues to evolve alongside technological advancements, emphasizing the importance of domain knowledge and critical thinking.
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Statistics jobs near you
Infographic showing various Statistics job openings in Seattle, WA as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $95,203 per year, or $45.8 per hour.

Statistician

Think Tank, Inc.

Seattle, WA

Other

Posted 22 days ago

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