ZipRecruiter

Log In

1

Phd In 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 ...

Service Global, Inc

Systems Engineer V

Redmond, WA · On-site

$80 - $85/hr

Experience in statistical methods for data analytics Experience as manufacturing engineer Conversational in Chinese (Mandarin) Mandatory Skills BSc/MSc/PhD in Physics, Mathematics, Aerospace ...

Service Global, Inc

Systems Engineer V

Redmond, WA · On-site

$80 - $85/hr

Experience in statistical methods for data analytics * Experience as manufacturing engineer Conversational in Chinese (Mandarin) Mandatory Skills BSc/MSc/PhD in Physics, Mathematics, Aerospace ...

Infotech Sourcing

Systems Engineer V

Redmond, WA · On-site

Qualifications (Must have) BSc/MSc/PhD in Physics, Mathematics, Aerospace Engineering, Optical ... optics, statistics, and polarization Experience in statistical methods for data analytics ...

Infotech Sourcing

Systems Engineer V

Redmond, WA · On-site

Qualifications (Must have) BSc/MSc/PhD in Physics, Mathematics, Aerospace Engineering, Optical ... optics, statistics, and polarization Experience in statistical methods for data analytics ...

OpenDoor

Applied Scientist AI/ML

Seattle, WA · On-site

$156.80 - $355/hr

Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field * Solid foundation in statistics and experimental design * Strong communication and ...

Opendoor

Applied Scientist AI/ML

Seattle, WA · On-site

$156K - $355K/yr

Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field * Solid foundation in statistics and experimental design * Strong communication and ...

Infotech Sourcing

Systems Engineer V

Kirkland, WA · On-site

Qualifications (Must have) BSc/MSc/PhD in Physics, Mathematics, Aerospace Engineering, Optical ... optics, statistics, and polarization Experience in statistical methods for data analytics ...

Infotech Sourcing

Systems Engineer V

Kirkland, WA · On-site

Qualifications (Must have) BSc/MSc/PhD in Physics, Mathematics, Aerospace Engineering, Optical ... optics, statistics, and polarization Experience in statistical methods for data analytics ...

next page

Showing results 1-20

All JobsPhd In Statistics JobsPhd In Statistics Jobs in Seattle, WA

Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in academia, research, data science, and analytics, often requiring strong analytical and programming skills. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.

What can you do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and modeling across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, statisticians, quantitative analysts, or research scientists, utilizing skills in statistical software, programming, and data interpretation to solve complex problems. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.

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

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

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

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

Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in Seattle, WA as of August 2026, with employment types broken down into 17% Internship, 49% Full Time, 17% Part Time, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution.

Statistician

Think Tank, Inc.

Seattle, WA

Full-time

Re-posted 29 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