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Statistician Jobs in Seattle, WA (NOW HIRING)

Provide statistical analysis to inform management decisions. * Statistically analyze spatial and temporal variability in processes experienced by migrating salmon in river systems, especially ...

Provide statistical analysis to inform management decisions.Statistically analyze spatial and temporal variability in processes experienced by migrating salmon in river systems, especially survival ...

Description of Duties: Provide statistical analysis to inform management decisions. Statistically analyze spatial and temporal variability in processes experienced by migrating salmon in river ...

Description of Duties: Provide statistical analysis to inform management decisions. Statistically analyze spatial and temporal variability in processes experienced by migrating salmon in river ...

*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 ...

Lead Statistician

Seattle, WA · On-site

$124K - $149K/yr

Job Summary The Lead Statistician role in the Wage & Hour Data Analytics group provides support on various projects, including but not limited to, single plaintiff, class action, collective action ...

Lead Statistician

Seattle, WA · On-site

$124K - $149K/yr

Job Summary The Lead Statistician role in the Wage & Hour Data Analytics group provides support on various projects, including but not limited to, single plaintiff, class action, collective action ...

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Statistician information

See Seattle, WA salary details

$57.5K

$98.9K

$132.6K

How much do statistician jobs pay per year?

As of Sep 1, 2026, the average yearly pay for statistician in Seattle, WA is $98,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $112,100.00 per year, depending on experience, location, and employer.

What does a statistician do?

A statistician collects, analyzes, and interprets data to help solve real-world problems in fields such as business, healthcare, government, and science. They design surveys, experiments, or opinion polls to gather data, and then use mathematical techniques and statistical software to interpret their findings. Statisticians play a vital role in decision-making processes by providing accurate data analysis and insights, which can be used to inform policy, optimize processes, or improve products and services.

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 strong analytical skills, a solid background in mathematics and statistics, and at least a bachelor's degree in a related field. Proficiency with statistical software such as R, SAS, Python, or SPSS and familiarity with data analysis tools are typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting results and conveying findings to diverse audiences. These skills ensure accurate data-driven insights and support informed decision-making in various industries.

What are some common challenges statisticians face when working with large datasets, and how are these typically addressed?

Statisticians often encounter challenges such as data quality issues, missing values, and computational limitations when working with large datasets. To address these, they use data cleaning techniques, employ imputation methods for missing data, and leverage specialized statistical software or programming languages like R and Python for efficient data processing. Collaborating closely with data engineers and subject matter experts is also critical to ensure that the data is both accurate and relevant for analysis. Staying updated on best practices and new tools helps statisticians manage these challenges effectively.

Are statisticians still in demand?

Statisticians are currently in high demand across various industries such as healthcare, finance, and technology due to the increasing reliance on data analysis and decision-making. Strong skills in statistical software, programming, and data interpretation enhance job prospects in this field.

Is a statistician a high paying job?

Statisticians typically earn higher-than-average salaries compared to many other professions, with median annual wages often exceeding national averages. Factors such as experience, education level, industry, and geographic location influence earning potential, and advanced skills in statistical software and data analysis can lead to higher pay.

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

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

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

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

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

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

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

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

Infographic showing various Statistician job openings in Seattle, WA as of August 2026, with employment types broken down into 72% Full Time, 6% Part Time, and 22% Contract. Highlights an 72% In-person, 11% Hybrid, and 17% Remote job distribution, with an average salary of $98,919 per year, or $47.6 per hour.

Full-time

Re-posted 24 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