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Statistics Major Jobs in Renton, WA (NOW HIRING)

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 ...

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 ...

Lead Statistician

Seattle, WA · On-site

$124K - $149K/yr

C.'s 1,000+ attorneys located in major cities nationwide consistently identify and respond to new ... degree in applied statistics, mathematics, econometrics or a similar field or commensurate ...

C.'s 1,000+ attorneys located in major cities nationwide consistently identify and respond to new ... degree in applied statistics, mathematics, econometrics or a similar field or commensurate ...

... statistics, predictive analytics, research) • OR equivalent experience. • Solid programming skills in Python and at least one major ML framework (e.g., PyTorch or TensorFlow). • Ability to ...

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Statistics Major information

See Renton, WA salary details

$45.6K

$94.1K

$131.6K

How much do statistics major jobs pay per year?

As of Aug 25, 2026, the average yearly pay for statistics major in Renton, WA is $94,099.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $130,500.00 per year, depending on experience, location, and employer.

What is a statistics major?

A Statistics major is an academic program that focuses on the study of collecting, analyzing, interpreting, and presenting data. Students learn mathematical theories, probability, and statistical methods to solve real-world problems in various fields such as business, healthcare, government, and research. The program typically includes coursework in mathematics, computer science, and specialized statistical techniques. Graduates are equipped with analytical skills that are highly valued in data-driven industries.

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

To thrive as a Statistics Major, you need strong analytical skills, proficiency in mathematical reasoning, and a solid understanding of probability and statistical theory, typically supported by coursework in mathematics and statistics. Familiarity with statistical software such as R, SAS, SPSS, or Python and data visualization tools is essential. Critical thinking, attention to detail, and effective communication are important soft skills for interpreting results and presenting findings. These competencies enable accurate data analysis, informed decision-making, and clear communication of complex statistical concepts in academic or professional settings.

What types of projects or collaborations can a statistics major expect to work on during their first professional role?

As a Statistics Major entering the workforce, you can expect to work on projects involving data collection, cleaning, analysis, and interpretation within cross-functional teams. You may collaborate with professionals from fields such as data science, engineering, marketing, or finance to derive actionable insights from complex datasets. Early-career roles often involve supporting senior analysts with statistical modeling, preparing reports, and contributing to presentations for stakeholders. This collaborative environment helps you build both technical and communication skills, laying a strong foundation for career advancement.

What is the difference between Statistics Major vs Data Analyst?

AspectStatistics MajorData Analyst
Required CredentialsBachelor's degree in Statistics, Mathematics, or related fieldBachelor's degree in Statistics, Data Science, or related field; often requires proficiency in data tools
Work EnvironmentAcademic, research, or corporate settings involving data analysis and modelingBusiness, finance, healthcare, or tech companies analyzing data to inform decisions
Industry UsageUsed in academia, research institutions, and industries requiring statistical modelingCommon in industries focused on data-driven decision making and reporting

Statistics Major and Data Analyst roles share similar educational backgrounds and work environments. While a Statistics Major focuses on developing statistical theories and models, a Data Analyst applies these skills to interpret data and support business decisions. Both roles are essential in data-driven industries, with overlapping skills but different primary focuses.

What can you do with a statistics major?

A statistics major can pursue careers in data analysis, actuarial science, research, and data science, applying statistical methods to solve real-world problems. They often work with tools like R, Python, or SQL and may need certifications such as the ASA or CAP. These roles typically involve analyzing data sets, creating reports, and supporting decision-making processes across various industries.

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

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

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

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

What cities near Renton, WA are hiring for Statistics Major jobs?

Cities near Renton, WA with the most Statistics Major job openings:

Infographic showing various Statistics Major job openings in Renton, WA as of August 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 89% In-person, 2% Hybrid, and 9% Remote job distribution, with an average salary of $94,099 per year, or $45.2 per hour.

Statistician

Seattle, WA • On-site

Think Tank, Inc.
Photography Services • 11 - 50 employees

Full-time

Re-posted 17 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