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Bayesian Modeling Jobs in Seattle, WA (NOW HIRING)

... modeling • Applying risk analysis methodologies to problems in engineering, health, finance ... Bayesian statistics, machine learning, or quality control/improvement • Minimum of 2 years ...

Develop novel probabilistic mathematical and simulation models representing complex ecological and ... Knowledge and experience in Bayesian statistics and mark-recapture methods is strongly preferred.

Develop novel probabilistic mathematical and simulation models representing complex ecological and ... Knowledge and experience in Bayesian statistics and mark-recapture methods is strongly preferred.

Participate in exploratory data analysis, statistical inference, and predictive modeling projects ... Bayesian statistics, machine learning, or quality control/improvement. * Minimum of 2 years ...

... modeling. * Expertise in the design and architecture of ML systems and workflows. * Experience with optimization techniques, including reinforcement learning (RL), Bayesian methods, and multi-armed ...

New

Principal Data Scientist

Redmond, WA · On-site

$130K - $277K/yr

Advanced statistics - deep command of inference, uncertainty quantification, and both Bayesian and frequentist approaches. * Strong ML expertise - end-to-end modeling, robust validation, and ...

Showing results 21-40

Bayesian Modeling information

See Seattle, WA salary details

$11

$66

$94

How much do bayesian modeling jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for bayesian modeling in Seattle, WA is $66.82, according to ZipRecruiter salary data. Most workers in this role earn between $59.90 and $77.69 per hour, depending on experience, location, and employer.

What is Bayesian modeling?

Bayesian modeling is a statistical approach that uses Bayes' Theorem to update the probability of a hypothesis as more data becomes available. It incorporates prior beliefs or knowledge, combines them with observed data, and produces a posterior probability distribution to guide inference and decision-making. This approach is widely used in various fields such as machine learning, data science, and scientific research for tasks like parameter estimation, prediction, and model selection.

How does a Bayesian modeling specialist typically collaborate with cross-functional teams in a workplace setting?

Bayesian Modeling specialists often work closely with data scientists, software engineers, and domain experts to integrate probabilistic models into larger analytical or production systems. They are involved in translating complex statistical concepts into actionable insights and recommendations tailored to business needs. Effective communication is key, as they must present findings to both technical and non-technical stakeholders, ensuring that model assumptions and results are clearly understood. Collaboration may also include contributing to code reviews, sharing best practices for model validation, and mentoring colleagues on Bayesian methodologies.

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

To thrive as a Bayesian Modeler, you need a solid background in statistics, probability theory, and mathematical modeling, often supported by an advanced degree in statistics, mathematics, or a related field. Proficiency with programming languages such as R, Python, or Stan, and experience with statistical software and Bayesian inference tools are essential. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting results and collaborating with multidisciplinary teams. These skills ensure accurate model development, reliable data-driven insights, and clear communication of complex findings to stakeholders.

What is the difference between Bayesian Modeling vs Data Scientist?

AspectBayesian ModelingData Scientist
Required CredentialsStatistics, Mathematics, Data AnalysisStatistics, Computer Science, Data Analysis
Work EnvironmentResearch-focused, statistical modelingCross-functional, data analysis, visualization
Industry UsageResearch, academia, specialized analyticsBusiness, tech, finance, healthcare
Common Search/ComparisonYesYes

Bayesian Modeling and Data Scientists often overlap in skills like statistics and data analysis. Bayesian Modeling specializes in probabilistic models and statistical inference, while Data Scientists have broader roles including data cleaning, visualization, and machine learning. Both roles are essential in data-driven industries, but Bayesian Modeling is more focused on advanced statistical techniques.

What cities near Seattle, WA are hiring for Bayesian Modeling jobs?

Cities near Seattle, WA with the most Bayesian Modeling job openings:

Infographic showing various Bayesian Modeling job openings in Seattle, WA as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $138,979 per year, or $66.8 per hour.

Senior Fisheries Data Scientist - Salmon Survival, Migration, and Mark-Recapture Modeling

Lynker Corporation

Seattle, WA • On-site

$90K - $125K/yr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Job description

Overview
Lynker Corporation is seeking a Senior Fisheries Data Scientist - Salmon Survival, Migration, and Mark-Recapture Modeling to support NOAA Fisheries' Northwest Fisheries Science Center (NWFSC), Fish Ecology Division, by providing statistical analysis to inform management decisions. This proposed contract role will support analysis of migrating salmon in river systems, with emphasis on survival and migration patterns through hydropower systems and across salmon life cycles. Hiring for this position will be contingent on contract award. Lynker will be operating under its FLOAT joint venture, a NOAA ProTech Fisheries 2.0 prime contract holder.*
The NWFSC Fish Ecology Division conducts scientific research on marine and anadromous species in the Pacific Northwest and California to support fisheries management, ESA-related needs, and sustainable fisheries decision making. This role supports NOAA's need for high-level statistical modeling, quantitative analysis, and ecological knowledge to produce products that inform management decisions affecting Pacific salmon, including dam operations, habitat changes, and harvest limits.
Responsibilities
Duties of the Fisheries Data Scientist will include the following:
  • Provide statistical analysis to inform management decisions.
  • Statistically analyze spatial and temporal variability in processes experienced by migrating salmon in river systems.
  • Analyze survival and migration patterns through hydropower systems and across salmon life cycles.
  • Analyze and generate relationships between fish responses, including density, growth, survival, and migration rate, and stressors such as environmental or ecological conditions, habitat metrics, and management actions.
  • Develop novel probabilistic mathematical and simulation models representing unique and complex ecological and behavioral processes using modern statistical methods.
  • Provide statistical support for other researchers during study design and analysis.
  • Organize and curate ecological datasets relevant to mark-recapture modeling needs.
  • Document and share reproducible research workflows and analytical protocols to support scientific transparency and peer collaboration.
  • Publish reports and scientific papers, and present results at regional and national meetings and scientific conferences, as needed.
  • Assist with field collection of fish and environmental data in freshwater, estuarine, and nearshore marine environments of the West Coast region, as needed.
  • Support analysis products archived in accessible and organized formats, including final data and models shared through public scientific repositories or interactive research dashboards.
  • Prepare written status reports and other ad hoc communications, as needed.

Qualifications
The Fisheries Data Scientist selected should have the following:
  • PhD degree from an accredited college or university with a major in a field of study related to the requirements of the task order, with emphasis in statistics, mathematics, fisheries, ecology, or the natural sciences.
  • Strong quantitative background with a solid foundation and extensive coursework in statistics and probability.
  • Ten 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.
  • Advanced degree in a related field may be substituted for two years, MS, or four years, PhD, of experience.
  • Excellent verbal and written communication skills.
  • Experience writing reports and publishing peer-reviewed articles.
  • Strong quantitative skills, including 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 the ability to manipulate large environmental datasets within a command-line environment, such as Linux/shell scripting, to support statistical workflows.
  • Familiarity interpreting or interfacing with C or C++ code within a scientific modeling context.
  • Familiarity with common software including Google Suite and Microsoft Office.
  • Ability to manage workload, stay organized, and produce high-quality work products efficiently.
  • Ability to work both independently and on interdisciplinary teams.
  • Valid driver's license, maintained during the period of performance.
The Ideal Fisheries Data Scientist will have the following:
  • Knowledge and experience in Bayesian statistics and mark-recapture methods.
Work Environment
Work will be conducted on-site at the Northwest Fisheries Science Center in Seattle, WA, or at one of its associated field stations in WA or OR, or at a mutually agreed upon location. Work may be performed at other than the government facility on a limited basis and in coordination with the COR and Project Lead. Part-time telework is authorized with a formal telework agreement between the Contractor and employee, subject to Office of the Chief Information Officer IT security requirements.
The role may include assistance with field collection of fish and environmental data in freshwater, estuarine, and nearshore marine environments of the West Coast region, as needed, and may involve riding in vehicles and/or boats. Travel is anticipated and authorized for this task order and must be approved by the Contractor in coordination with the COR before travel occurs. Overtime is not anticipated and must be coordinated and authorized before being worked.
This project is considered low risk, and Contractor staff must be suited for public trust classification. Background investigations are required for all Contractor staff proposed for this project and must be cleared prior to beginning performance. Effective January 1, 2026, vendors and visitors must present REAL ID-compliant identification, or an acceptable alternative government-issued photo identification, to enter applicable DOC/NOAA facilities.
About Lynker
Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.
We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.
Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:
  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) - we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.
Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.
*This position is advertised through our joint venture, FISH and Lynker Ocean Alliance Team (FLOAT), a partnership between Lynker and Fisheries Immersed Sciences Hawaii (FISH) serving the NOAA ProTech Fisheries 2.0 IDIQ contracting vehicle.
Fraud Alert: Recruitment Scam Warning: Lynker has been made aware of fraudulent individuals posing as Lynker recruiters and offering fake job opportunities. All legitimate Lynker job postings are listed on our official careers page. Communication from Lynker recruiters will come from an official @lynker.com email address.