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Bayesian Modeling Jobs in Redmond, WA (NOW HIRING)

Statistical Scientist (Ph.D.)

Bellevue, WA · On-site

$133K - $150K/yr

  • Retirement

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

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Bayesian Modeling information

See Redmond, WA salary details

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$65

$93

How much do bayesian modeling jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for bayesian modeling in Redmond, WA is $65.76, according to ZipRecruiter salary data. Most workers in this role earn between $58.94 and $76.44 per hour, depending on experience, location, and employer.

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 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.

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 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.

What are popular job titles related to Bayesian Modeling jobs in Redmond, WA?

For Bayesian Modeling jobs in Redmond, WA, the most frequently searched job titles are:

What job categories do people searching Bayesian Modeling jobs in Redmond, WA look for?

The top searched job categories for Bayesian Modeling jobs in Redmond, WA are:

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

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

Statistical Scientist (Ph.D.)

Exponent Inc.

Bellevue, WA • On-site

Full-time

Retirement

Re-posted 26 days ago


Job description

Exponent is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients’ most profoundly unique, unprecedented, and urgent challenges.  

Our vision is to engage multidisciplinary teams of science, engineering, and regulatory experts to empower clients with solutions that create a safer, healthier, more sustainable world. For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability.  

Join our team of experts with degrees from top programs at over 500 universities and extensive experience spanning a variety of industries. At Exponent, you’ll contribute to the diverse pool of ideas, talents, backgrounds, and experiences that drives our collaborative teamwork and breakthrough insights. Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning. Thanks for your interest in joining our team! 

Key statistics: 

  • 950+ Consultants 
  • 640+ Ph.D.s 
  • 90+ Disciplines 
  • 30+ Offices globally 

We are currently seeking a Statistical Scientist for our Data Sciences Practice to be based in our Bellevue, WA office. In this role, you will work as part of a team engaged on diverse projects in the collection, management, visualization, and inferential analysis of data. 


  • Participating in diverse projects involving exploratory data analysis, statistical inference, and predictive modeling
  • Applying risk analysis methodologies to problems in engineering, health, finance, ecology, and the environment
  • Providing support to internal and external clients when planning data collection, including framing the problem, experimental design, sample size calculations, and identifying appropriate populations and sampling strategies
  • Developing reports and visualizations to address clients’ scientific and engineering problems and to support litigation

  • Ph.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 such subject areas as statistical data mining, analysis of reliability and life data, experimental design, Bayesian statistics, machine learning, or quality control/improvement
  • Minimum of 2 years' experience with one or more statistical software packages (SAS and R are preferred)
  • Ability to work independently and in multidisciplinary teams
  • Programming skills (e.g., C++, SQL, Visual Basic, Python) and software or dashboard development experience are strongly preferred
  • Presently legally authorized to work in the United States; no immigration sponsorship or processing required  

Applicants are encouraged to submit a CV (Curriculum Vitae) with publications (feel free to include publications that are in review or pending) [not restricted to 1 page].


To learn more about life at Exponent and our impact, please visit the following links:
https://www.exponent.com/careers/life-exponent
https://www.exponent.com/company/our-impact

Attracting, inspiring, developing, and rewarding exceptional people with diverse backgrounds and expertise are central to our corporate culture. Our diverse team allows us to provide better value to our clients and enjoy an enriched work environment.  

Our firm is committed to offering a variety of programs and resources to support health and well-being. We believe that providing competitive benefits as well as compensation and recognition programs empowers our staff to do work that makes a difference. 


At Exponent, we have found that in-person interactions deepen employee engagement and are crucial for development, for realizing the full potential of our talented and diverse teams, and for building a more inclusive workplace where all have a sense of belonging. In our offices, you can expect a supportive culture and a collaborative, dynamic, multi-disciplinary work environment. Our consultants engage in-person in the office unless they are traveling for client work or other business activities.

We value the rich lives our colleagues enjoy outside of work and understand that work/life balance is critical to our employees and their well-being. Consultants have the autonomy to balance their work and personal schedules so you can meet with clients, visit inspection sites, attend conferences, and make time for priorities outside of work, too. It is this flexible, agile work style and working hours that allow our teams to drive innovation and results in their own ways, while meeting the needs of clients. #LI-Onsite


Our consultants are rewarded for their technical and business contributions and have an opportunity to plan for future success and career growth. Exponent's total compensation plan is consistent with its expectations of the quality and quantity of work performed and with the professional standards set by Exponent. At the Associate and Senior Associate level, total compensation includes base salary, bi-weekly bonuses for high-intensity efforts, annual bonus and 401(k) employer contribution of 7% of base salary.

The base salary range for this position is dependent on experience and capabilities which will be assessed during the interview process.


USD $133,000.00 - USD $150,000.00 /Yr.

Access benefits information on our Life@Exponent page:  https://www.exponent.com/careers/life-exponent 

 
Exponent is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status. 

 
If you need assistance or accommodation due to a disability, you may email us at HR-Accommodations@exponent.com. 


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