Python) - Experience with statistical models (e.g., logistic regression. supervised learning ... Experience establishing Bayesian decision frameworks for business decisions - Excellent ...
Python) - Experience with statistical models (e.g., logistic regression. supervised learning ... Experience establishing Bayesian decision frameworks for business decisions - Excellent ...
Experience with statistical models (e.g., logistic regression. supervised learning approaches ... Experience establishing Bayesian decision frameworks for business decisions * Excellent ...
Experience with statistical models (e.g., logistic regression. supervised learning approaches ... Experience establishing Bayesian decision frameworks for business decisions * Excellent ...
Digital Analyst
Seattle, WA · On-site
$74K - $119K/yr
... modeling tools (e.g. R, Python, SAS, SPSS) • Effectively communicates a summary of customer ... Bayesian statistics, and can apply them to analysis design with supervision • Demonstrated ...
Digital Analyst
Seattle, WA · On-site
$74K - $119K/yr
... modeling tools (e.g. R, Python, SAS, SPSS) • Effectively communicates a summary of customer ... Bayesian statistics, and can apply them to analysis design with supervision • Demonstrated ...
Senior Product Security Engineer - QRA
Seattle, WA · On-site
$217K - $307K/yr
Carry out security analysis, threat modeling, and risk assessment for a complex product ecosystem ... EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks) * Prior ...
Senior Product Security Engineer - QRA
Seattle, WA · On-site
$217K - $307K/yr
Carry out security analysis, threat modeling, and risk assessment for a complex product ecosystem ... EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks) * Prior ...
Senior Product Security Engineer - QRA
Seattle, WA · On-site
$217K - $307K/yr
Carry out security analysis, threat modeling, and risk assessment for a complex product ecosystem ... EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks) * Prior ...
Senior Product Security Engineer - QRA
Seattle, WA · On-site
$217K - $307K/yr
Carry out security analysis, threat modeling, and risk assessment for a complex product ecosystem ... EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks) * Prior ...
Product Security Engineer - QRA
Seattle, WA · On-site
$191K - $271K/yr
Carry out security analysis, threat modeling, and risk assessment for a complex product ecosystem ... EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks) * Prior ...
Product Security Engineer - QRA
Seattle, WA · On-site
$191K - $271K/yr
Carry out security analysis, threat modeling, and risk assessment for a complex product ecosystem ... EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks) * Prior ...
Product Security Engineer - QRA
Seattle, WA · On-site
$191K - $271K/yr
Carry out security analysis, threat modeling, and risk assessment for a complex product ecosystem ... EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks) * Prior ...
Product Security Engineer - QRA
Seattle, WA · On-site
$191K - $271K/yr
Carry out security analysis, threat modeling, and risk assessment for a complex product ecosystem ... EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks) * Prior ...
... modeling * Applying risk analysis methodologies to problems in engineering, health, finance ... Bayesian statistics, machine learning, or quality control/improvement * Minimum of 2 years ...
... modeling * Applying risk analysis methodologies to problems in engineering, health, finance ... Bayesian statistics, machine learning, or quality control/improvement * Minimum of 2 years ...
Statistical Scientist (Ph.D.)
Bellevue, WA · On-site
$133 - $150/hr
... modeling * Applying risk analysis methodologies to problems in engineering, health, finance ... Bayesian statistics, machine learning, or quality control/improvement * Minimum of 2 years ...
Statistical Scientist (Ph.D.)
Bellevue, WA · On-site
$133 - $150/hr
... modeling * Applying risk analysis methodologies to problems in engineering, health, finance ... Bayesian statistics, machine learning, or quality control/improvement * Minimum of 2 years ...
Statistical Scientist (Ph.D.)
Bellevue, WA · On-site
$133K - $150K/yr
... modeling * Applying risk analysis methodologies to problems in engineering, health, finance ... Bayesian statistics, machine learning, or quality control/improvement * Minimum of 2 years ...
Statistical Scientist (Ph.D.)
Bellevue, WA · On-site
$133K - $150K/yr
... modeling * Applying risk analysis methodologies to problems in engineering, health, finance ... Bayesian statistics, machine learning, or quality control/improvement * Minimum of 2 years ...
... modeling * Applying risk analysis methodologies to problems in engineering, health, finance ... Bayesian statistics, machine learning, or quality control/improvement * Minimum of 2 years ...
... modeling * Applying risk analysis methodologies to problems in engineering, health, finance ... Bayesian statistics, machine learning, or quality control/improvement * Minimum of 2 years ...
Bayesian Modeling information
See Seattle, WA salary details
$11.76 - $19.30
4% of jobs
$19.30 - $26.83
1% of jobs
$26.83 - $34.37
2% of jobs
$34.37 - $41.91
0% of jobs
$41.91 - $49.44
3% of jobs
$49.44 - $56.98
8% of jobs
$59.68 is the 25th percentile. Wages below this are outliers.
$56.98 - $64.51
17% of jobs
The median wage is $68.93 / hr.
$64.51 - $72.05
24% of jobs
$76.93 is the 75th percentile. Wages above this are outliers.
$72.05 - $79.58
23% of jobs
$79.58 - $87.12
12% of jobs
$87.12 - $94.65
5% of jobs
$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?
| Aspect | Bayesian Modeling | Data Scientist |
|---|---|---|
| Required Credentials | Statistics, Mathematics, Data Analysis | Statistics, Computer Science, Data Analysis |
| Work Environment | Research-focused, statistical modeling | Cross-functional, data analysis, visualization |
| Industry Usage | Research, academia, specialized analytics | Business, tech, finance, healthcare |
| Common Search/Comparison | Yes | Yes |
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 popular job titles related to Bayesian Modeling jobs in Seattle, WA?
For Bayesian Modeling jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Bayesian Modeling jobs in Seattle, WA look for?
The top searched job categories for Bayesian Modeling jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Bayesian Modeling jobs?
Cities near Seattle, WA with the most Bayesian Modeling job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 24 days ago
Amazon rating
7.4
Based on 7,105 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
Interested in influencing what customers around the world see when they turn on Prime Video? The Prime Video Personalization and Discovery team matches customers with the right content at the right time, at all touch points throughout the content discovery journey.
We are looking for a customer-focused, solutions-oriented Principal Data Scientist to develop next-gen measurement and experimentation systems within Prime Video Personalization and Discovery. You'll be part of an embedded science team driving projects across product and engineering teams that ultimately influence what millions of customers around the world see when the log into Prime Video.
The ideal candidate brings experience building experiment-based measurement systems at scale, excellent stakeholder communication skills, and the ability to balance technical rigor with delivery speed and customer impact. You will build cross-functional support within Prime Video for high-quality, rigorous measurement, assess business problems, and support iterative scientific solutions that balance short-term delivery with long-term science roadmaps.
Key job responsibilities
- Define and drive the multi-year vision for experiment-based measurement systems within Prime Video
- Partner with product stakeholders and science peers to identify strategic data-driven opportunities to improve the customer experience
- Communicate findings, conclusions, and recommendations to technical and non-technical business leaders across Prime Video
- Educate senior leaders about and advocate for high-quality measurement as an input to data-driven decisions
- Mentor junior scientists and review technical artifacts to ensure quality
- Stay up-to-date on the latest data science tools, techniques, and best practices and help evangelize them across the organization
BASIC QUALIFICATIONS
- Bachelors' degree in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field
- 11+ years of data scientist experience
- Competency in data querying languages (e.g. SQL) and scripting languages (e.g. Python)
- Experience with statistical models (e.g., logistic regression. supervised learning approaches)
- Experience with online experimentation systems
PREFERRED QUALIFICATIONS
- Masters Degree in Data Science or related field
- Experience designing and building large-scale online measurement systems
- Experience establishing Bayesian decision frameworks for business decisions
- Excellent communications with non-technical executive audiences
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, SEATTLE - 189,400.00 - 256,200.00 USD annually
We are looking for a customer-focused, solutions-oriented Principal Data Scientist to develop next-gen measurement and experimentation systems within Prime Video Personalization and Discovery. You'll be part of an embedded science team driving projects across product and engineering teams that ultimately influence what millions of customers around the world see when the log into Prime Video.
The ideal candidate brings experience building experiment-based measurement systems at scale, excellent stakeholder communication skills, and the ability to balance technical rigor with delivery speed and customer impact. You will build cross-functional support within Prime Video for high-quality, rigorous measurement, assess business problems, and support iterative scientific solutions that balance short-term delivery with long-term science roadmaps.
Key job responsibilities
- Define and drive the multi-year vision for experiment-based measurement systems within Prime Video
- Partner with product stakeholders and science peers to identify strategic data-driven opportunities to improve the customer experience
- Communicate findings, conclusions, and recommendations to technical and non-technical business leaders across Prime Video
- Educate senior leaders about and advocate for high-quality measurement as an input to data-driven decisions
- Mentor junior scientists and review technical artifacts to ensure quality
- Stay up-to-date on the latest data science tools, techniques, and best practices and help evangelize them across the organization
BASIC QUALIFICATIONS
- Bachelors' degree in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field
- 11+ years of data scientist experience
- Competency in data querying languages (e.g. SQL) and scripting languages (e.g. Python)
- Experience with statistical models (e.g., logistic regression. supervised learning approaches)
- Experience with online experimentation systems
PREFERRED QUALIFICATIONS
- Masters Degree in Data Science or related field
- Experience designing and building large-scale online measurement systems
- Experience establishing Bayesian decision frameworks for business decisions
- Excellent communications with non-technical executive audiences
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, SEATTLE - 189,400.00 - 256,200.00 USD annually
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US