Applied Scientist- Pricing
Seattle, WA · On-site
... Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical ... in statistics, mathematics, economics, operations research, computer science, or another ...
Applied Scientist- Pricing
Seattle, WA · On-site
... Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical ... in statistics, mathematics, economics, operations research, computer science, or another ...
Staff Applied Scientist, AI Quality & Meta Evaluation
$205K - $308K/yr
... Bayesian approaches Demonstrated experience building disagreement detection or anomaly detection models in production ML systems Strong command of statistical measurement frameworks - inter-rater ...
Staff Applied Scientist, AI Quality & Meta Evaluation
$205K - $308K/yr
... Bayesian approaches Demonstrated experience building disagreement detection or anomaly detection models in production ML systems Strong command of statistical measurement frameworks - inter-rater ...
Research Scientist Intern, State Estimation for Dexterous Manipulation (PhD)
Redmond, WA · On-site
$7.6K - $12K/mo
... or system identification in robotic or dynamical systems (e.g. Bayesian filtering, online ... statistical evaluation of robotic systems • Experience working and communicating cross ...
Research Scientist Intern, State Estimation for Dexterous Manipulation (PhD)
Redmond, WA · On-site
$7.6K - $12K/mo
... or system identification in robotic or dynamical systems (e.g. Bayesian filtering, online ... statistical evaluation of robotic systems • Experience working and communicating cross ...
... in consumer research, survey data models, causal inference, statistical analysis, and data-driven ... Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science ...
... in consumer research, survey data models, causal inference, statistical analysis, and data-driven ... Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science ...
Applied Scientist- Pricing
Seattle, WA · On-site
$156K - $335K/yr
Experience with one or more of the following: causal inference, Bayesian modeling, structural ... Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research ...
Applied Scientist- Pricing
Seattle, WA · On-site
$156K - $335K/yr
Experience with one or more of the following: causal inference, Bayesian modeling, structural ... Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research ...
Senior Physicist - Resilience Engineering & Operations
Bothell, WA · On-site
$114K - $150K/yr
Formal training or education in statistics * Capable of adapting for an ever-growing and ever ... PhD or Postdoc in experimental AMO physics * Deep experience with Javascript or Python * A ...
Senior Physicist - Resilience Engineering & Operations
Bothell, WA · On-site
$114K - $150K/yr
Formal training or education in statistics * Capable of adapting for an ever-growing and ever ... PhD or Postdoc in experimental AMO physics * Deep experience with Javascript or Python * A ...
... or system identification in robotic or dynamical systems (e.g. Bayesian filtering, online ... Experience with experimental design and statistical evaluation of robotic systems * Experience ...
... or system identification in robotic or dynamical systems (e.g. Bayesian filtering, online ... Experience with experimental design and statistical evaluation of robotic systems * Experience ...
... learning, Bayesian Optimization, causal and statistical inference, and econometrics to drive ... Key job responsibilities Key job responsibilities - Experience in causal ML and treatment effect ...
... learning, Bayesian Optimization, causal and statistical inference, and econometrics to drive ... Key job responsibilities Key job responsibilities - Experience in causal ML and treatment effect ...
... Bachelors' degree in Statistics, Applied Math, Operations Research, Economics, or a related ... Experience establishing Bayesian decision frameworks for business decisions - Excellent ...
... Bachelors' degree in Statistics, Applied Math, Operations Research, Economics, or a related ... Experience establishing Bayesian decision frameworks for business decisions - Excellent ...
Advanced statistics: frequentist and Bayesian methods, experimental design, regression, causal ... In this role, you will: People Leadership & Team Development * Directly manages a team of ~3 data ...
New
Advanced statistics: frequentist and Bayesian methods, experimental design, regression, causal ... In this role, you will: People Leadership & Team Development * Directly manages a team of ~3 data ...
New
Post-Doctoral Research Fellow
Seattle, WA · On-site
$55K - $75K/yr
Responsibilities Specifically, the postdoc will have the following duties: * Developing new ... A PhD in biomedical sciences, epidemiology, biostatistics, statistics, computer science, machine ...
Post-Doctoral Research Fellow
Seattle, WA · On-site
$55K - $75K/yr
Responsibilities Specifically, the postdoc will have the following duties: * Developing new ... A PhD in biomedical sciences, epidemiology, biostatistics, statistics, computer science, machine ...
Post-Doctoral Research Fellow
$55K - $75K/yr
Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in ... Specifically, the postdoc will have the following duties: * Developing new statistical models ...
Post-Doctoral Research Fellow
$55K - $75K/yr
Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in ... Specifically, the postdoc will have the following duties: * Developing new statistical models ...
Post-Doctoral Research Fellow
$55K - $75K/yr
Responsibilities Specifically, the postdoc will have the following duties: * Developing new ... A PhD in biomedical sciences, epidemiology, biostatistics, statistics, computer science, machine ...
Post-Doctoral Research Fellow
$55K - $75K/yr
Responsibilities Specifically, the postdoc will have the following duties: * Developing new ... A PhD in biomedical sciences, epidemiology, biostatistics, statistics, computer science, machine ...
Director, Machine Learning Science - Marketing
Seattle, WA · On-site +1
$358K/yr
Depth in supervised and unsupervised learning, statistics, and experimentation, including A/B testing, power analysis, Bayesian methods, and causal inference * Command of the ML development lifecycle ...
Director, Machine Learning Science - Marketing
Seattle, WA · On-site +1
$358K/yr
Depth in supervised and unsupervised learning, statistics, and experimentation, including A/B testing, power analysis, Bayesian methods, and causal inference * Command of the ML development lifecycle ...
In this role, you will manage the lifecycle of complex, cross-functional programs that transform ... Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of ...
In this role, you will manage the lifecycle of complex, cross-functional programs that transform ... Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of ...
Research Scientist, Operational Efficiency, AET Planning and Analytics Science
Bellevue, WA · On-site
... statistical modeling / machine learning - Knowledge of R, MATLAB, Python or similar scripting ... in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing ...
Research Scientist, Operational Efficiency, AET Planning and Analytics Science
Bellevue, WA · On-site
... statistical modeling / machine learning - Knowledge of R, MATLAB, Python or similar scripting ... in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing ...
... statistical analysis, protocol development, reproducible research practices, and scholarly ... Minimum seven years of progressively responsible postdoctoral research experience in an academic ...
... statistical analysis, protocol development, reproducible research practices, and scholarly ... Minimum seven years of progressively responsible postdoctoral research experience in an academic ...
Research Scientist/Engineer Senior
Seattle, WA · On-site
$168K/yr
... statistical analysis, protocol development, reproducible research practices, and scholarly ... Minimum seven years of progressively responsible postdoctoral research experience in an academic ...
Research Scientist/Engineer Senior
Seattle, WA · On-site
$168K/yr
... statistical analysis, protocol development, reproducible research practices, and scholarly ... Minimum seven years of progressively responsible postdoctoral research experience in an academic ...
Applied Perception Scientist
Redmond, WA · On-site
Experience with statistical analysis of behavioral data (e.g., mixed-effects models, signal ... least dabbled in computational models of perception. Someone who is currently a postdoc, a ...
Applied Perception Scientist
Redmond, WA · On-site
Experience with statistical analysis of behavioral data (e.g., mixed-effects models, signal ... least dabbled in computational models of perception. Someone who is currently a postdoc, a ...
PhD in Computer Science, Applied Mathematics, Computational Biology, Statistics, Biostatistics or similar field; or equivalent combination of degree and experience * Minimum of 2 years postdoctoral ...
PhD in Computer Science, Applied Mathematics, Computational Biology, Statistics, Biostatistics or similar field; or equivalent combination of degree and experience * Minimum of 2 years postdoctoral ...
Postdoctoral In Bayesian Statistics information
See Seattle, WA salary details
$28.5K - $34.5K
2% of jobs
$34.5K - $40.6K
3% of jobs
$40.6K - $46.6K
3% of jobs
$46.6K - $52.7K
11% of jobs
$54.8K is the 25th percentile. Wages below this are outliers.
$52.7K - $58.7K
16% of jobs
$58.7K - $64.8K
13% of jobs
The median wage is $65.3K / yr.
$64.8K - $70.8K
17% of jobs
$74.1K is the 75th percentile. Wages above this are outliers.
$70.8K - $76.9K
17% of jobs
$76.9K - $82.9K
13% of jobs
$82.9K - $89K
3% of jobs
$89K - $95K
1% of jobs
$28.5K
$67.2K
$95K
How much do postdoctoral in bayesian statistics jobs pay per year?
As of Jul 24, 2026, the average yearly pay for postdoctoral in bayesian statistics in Seattle, WA is $67,168.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,800.00 and $75,700.00 per year, depending on experience, location, and employer.
What is a Postdoctoral position in Bayesian Statistics?
A Postdoctoral position in Bayesian Statistics is a research-focused role for individuals who have recently completed their PhD in statistics, mathematics, or a related field. These positions involve conducting advanced research using Bayesian methods, which apply probability to infer statistical conclusions. Postdocs often work on developing new Bayesian models, collaborating on interdisciplinary projects, and publishing research findings. Such positions are typically temporary and designed to further prepare researchers for academic, industry, or governmental roles.
What are some common challenges faced by postdoctoral researchers in Bayesian statistics, and how can they be addressed?
Postdoctoral researchers in Bayesian statistics often encounter challenges such as managing complex, high-dimensional data, staying current with rapidly evolving computational methods, and balancing independent research with collaborative projects. Effective strategies include leveraging open-source statistical software, actively participating in seminars and workshops to stay updated, and establishing regular communication with interdisciplinary teams. Building a strong professional network and seeking mentorship within the department can also help in navigating research obstacles and advancing one's career.
What is the difference between Postdoctoral In Bayesian Statistics vs Postdoctoral In Data Science?
| Aspect | Postdoctoral In Bayesian Statistics | Postdoctoral In Data Science |
|---|---|---|
| Required Credentials | PhD in Statistics, Mathematics, or related field | PhD in Computer Science, Statistics, or related field |
| Work Environment | Academic research, university labs | Research institutions, tech companies, industry labs |
| Employer & Industry Usage | Universities, research institutes | Tech firms, finance, healthcare, consulting |
| Common Search & Comparison Intent | Specialized research roles in Bayesian methods | Broader data analysis and machine learning roles |
Postdoctoral In Bayesian Statistics focuses on advanced research in Bayesian methods within academic settings, requiring deep statistical expertise. In contrast, Postdoctoral In Data Science covers a broader range of data analysis techniques, including machine learning, often in industry environments. Both roles require a PhD but differ in application focus and work environment.
What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Bayesian Statistics, and why are they important?
To thrive as a Postdoctoral Researcher in Bayesian Statistics, you need an advanced degree (typically a PhD) in statistics or a related field, with strong expertise in Bayesian inference and probabilistic modeling. Proficiency with statistical programming languages such as R, Python, or Stan, and experience with specialized Bayesian analysis software are highly valued. Excellent problem-solving skills, collaboration, and the ability to communicate complex statistical concepts clearly are standout soft skills for this role. These skills and qualities are crucial for conducting rigorous research, publishing impactful results, and contributing effectively to scientific teams.
What are popular job titles related to Postdoctoral In Bayesian Statistics jobs in Seattle, WA? For Postdoctoral In Bayesian Statistics jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Postdoctoral In Bayesian Statistics jobs in Seattle, WA look for? The top searched job categories for Postdoctoral In Bayesian Statistics jobs in Seattle, WA are:
- Ai Cancer Research
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- Postdoctoral Researcher Genomics
- Plant Biotechnology Postdoctoral Research
- Part Time Research Associate Remote
- Research Scientist Audio
- Postdoc Drug Delivery Nanomedicine
- Decision Making Postdoc
- Contract Research Associate
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Job description
Job Summary:
Opendoor is on a mission to empower homeowners and those aspiring to be one. They are seeking an Applied Scientist to tackle complex quantitative challenges related to pricing, demand modeling, and risk management, contributing to their valuation and pricing ecosystem.
Responsibilities:
• Build models that help Opendoor make better decisions around pricing, resale strategy, and portfolio risk
• Develop demand and conversion models using both pre-listing and post-listing signals
• Design and improve optimization frameworks that balance objectives like margin, conversion, and risk
• Apply statistical, econometric, and mathematical modeling techniques to problems where structure matters and pure black-box prediction is not enough
• Design experiments and measurement approaches to quantify price elasticity, customer response, and product trade-offs
• Partner with Engineering, Product, and Operations to turn models into systems that influence real decisions
• Bring a pragmatic, hands-on approach: move quickly from idea to prototype to production-ready scientific component
Qualifications:
Required:
• Experience developing quantitative models to support real-world decision-making under uncertainty
• Strong coding skills in Python, with the ability to move beyond prototyping and implement production-quality scientific code
• Experience with one or more of the following: causal inference, Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical optimization
• Comfort working with messy, high-dimensional real-world data and translating ambiguous business problems into rigorous modeling approaches
• Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline
• Strong communication and collaboration skills — you’re comfortable working with cross-functional stakeholders and can communicate technical ideas clearly
Preferred:
• Experience in pricing, marketplace modeling, revenue management, supply/demand systems, inventory optimization, or risk modeling
• Background in real estate, housing, finance, or adjacent marketplace domains
• Familiarity with distributed data processing tools such as Pyspark
• Experience with machine learning methods broadly, including where deep learning can complement structured statistical modeling
• Experience working with large language models (LLMs) or vision-language models (VLMs)
Company:
Founded in 2014, Opendoor’s mission is to power life’s progress one move at a time. Founded in 2014, the company is headquartered in Tempe, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Opendoor is on a mission to empower homeowners and those aspiring to be one. They are seeking an Applied Scientist to tackle complex quantitative challenges related to pricing, demand modeling, and risk management, contributing to their valuation and pricing ecosystem.
Responsibilities:
• Build models that help Opendoor make better decisions around pricing, resale strategy, and portfolio risk
• Develop demand and conversion models using both pre-listing and post-listing signals
• Design and improve optimization frameworks that balance objectives like margin, conversion, and risk
• Apply statistical, econometric, and mathematical modeling techniques to problems where structure matters and pure black-box prediction is not enough
• Design experiments and measurement approaches to quantify price elasticity, customer response, and product trade-offs
• Partner with Engineering, Product, and Operations to turn models into systems that influence real decisions
• Bring a pragmatic, hands-on approach: move quickly from idea to prototype to production-ready scientific component
Qualifications:
Required:
• Experience developing quantitative models to support real-world decision-making under uncertainty
• Strong coding skills in Python, with the ability to move beyond prototyping and implement production-quality scientific code
• Experience with one or more of the following: causal inference, Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical optimization
• Comfort working with messy, high-dimensional real-world data and translating ambiguous business problems into rigorous modeling approaches
• Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline
• Strong communication and collaboration skills — you’re comfortable working with cross-functional stakeholders and can communicate technical ideas clearly
Preferred:
• Experience in pricing, marketplace modeling, revenue management, supply/demand systems, inventory optimization, or risk modeling
• Background in real estate, housing, finance, or adjacent marketplace domains
• Familiarity with distributed data processing tools such as Pyspark
• Experience with machine learning methods broadly, including where deep learning can complement structured statistical modeling
• Experience working with large language models (LLMs) or vision-language models (VLMs)
Company:
Founded in 2014, Opendoor’s mission is to power life’s progress one move at a time. Founded in 2014, the company is headquartered in Tempe, USA, with a team of 1001-5000 employees. The company is currently Late Stage.