Develop, implement, and refine Bayesian forecasting models to interpret small-sample test results. * Build and optimize predictive analytics models to monitor fleet operations and analyze vehicle ...
Develop, implement, and refine Bayesian forecasting models to interpret small-sample test results. * Build and optimize predictive analytics models to monitor fleet operations and analyze vehicle ...
Modeling : Build and iterate on statistical and Bayesian models that quantify risk, estimate treatment effects, and surface measurement gaps; provide causal interpretation of signals surfaced by ML ...
Modeling : Build and iterate on statistical and Bayesian models that quantify risk, estimate treatment effects, and surface measurement gaps; provide causal interpretation of signals surfaced by ML ...
Research Scientist - Frontier AI/ML & Quantum Algorithms
San Francisco, CA · On-site
$200K - $300K/yr
Probabilistic inference, Bayesian modeling, variational inference, Monte Carlo methods, simulation-based inference, uncertainty quantification, and calibration. * Optimization, sampling, amortized ...
Research Scientist - Frontier AI/ML & Quantum Algorithms
San Francisco, CA · On-site
$200K - $300K/yr
Probabilistic inference, Bayesian modeling, variational inference, Monte Carlo methods, simulation-based inference, uncertainty quantification, and calibration. * Optimization, sampling, amortized ...
Modeling : Build and iterate on statistical and Bayesian models that quantify risk, estimate treatment effects, and surface measurement gaps; provide causal interpretation of signals surfaced by ML ...
Modeling : Build and iterate on statistical and Bayesian models that quantify risk, estimate treatment effects, and surface measurement gaps; provide causal interpretation of signals surfaced by ML ...
... AI models. Who We Are Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of ...
... AI models. Who We Are Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of ...
Design, implement, and optimize predictive and statistical models using Gradient Boosting frameworks (XGBoost, LightGBM, CatBoost) and Bayesian modeling (PyMC), applying feature selection and high ...
Design, implement, and optimize predictive and statistical models using Gradient Boosting frameworks (XGBoost, LightGBM, CatBoost) and Bayesian modeling (PyMC), applying feature selection and high ...
Bayesian Statistician (Data Scientist) - Aurora, CO
Aurora, CO · On-site
$78K - $236K/yr
Bayesian Statistician (Data Scientist) Aurora, CO Applications will be accepted on an ongoing basis ... Experience with developing and applying advanced statistical/machine learning models and algorithms ...
Bayesian Statistician (Data Scientist) - Aurora, CO
Aurora, CO · On-site
$78K - $236K/yr
Bayesian Statistician (Data Scientist) Aurora, CO Applications will be accepted on an ongoing basis ... Experience with developing and applying advanced statistical/machine learning models and algorithms ...
Senior Data Scientist
Philadelphia, PA · On-site
Apply causal inference, Bayesian modeling, survival analysis, and simulation to solve high-stakes business problems. * Translate ambiguity to impact: Frame undefined problems with entrepreneurial ...
Senior Data Scientist
Philadelphia, PA · On-site
Apply causal inference, Bayesian modeling, survival analysis, and simulation to solve high-stakes business problems. * Translate ambiguity to impact: Frame undefined problems with entrepreneurial ...
Design and implement Bayesian models and probabilistic frameworks for uncertainty estimation and decision-making. * Utilize Markov chains and stochastic processes for modeling sequential or ...
Design and implement Bayesian models and probabilistic frameworks for uncertainty estimation and decision-making. * Utilize Markov chains and stochastic processes for modeling sequential or ...
Bayesian Modeling. * MCMC computation. * Bioinformatics. * Clustering. Salary: Compensation will be commensurate based on the selected candidate's education and experience. What you need to do Apply!
Bayesian Modeling. * MCMC computation. * Bioinformatics. * Clustering. Salary: Compensation will be commensurate based on the selected candidate's education and experience. What you need to do Apply!
Senior Data Scientist
Philadelphia, PA · On-site
Apply causal inference, Bayesian modeling, survival analysis, and simulation to solve high-stakes business problems. * Translate ambiguity to impact: Frame undefined problems with entrepreneurial ...
Senior Data Scientist
Philadelphia, PA · On-site
Apply causal inference, Bayesian modeling, survival analysis, and simulation to solve high-stakes business problems. * Translate ambiguity to impact: Frame undefined problems with entrepreneurial ...
Bayesian Modeling. * MCMC computation. * Bioinformatics. * Clustering. Salary: Compensation will be commensurate based on the selected candidate's education and experience. What you need to do Apply!
Bayesian Modeling. * MCMC computation. * Bioinformatics. * Clustering. Salary: Compensation will be commensurate based on the selected candidate's education and experience. What you need to do Apply!
Senior Data Scientist
Philadelphia, PA · On-site
Apply causal inference, Bayesian modeling, survival analysis, and simulation to solve high-stakes business problems. * Translate ambiguity to impact: Frame undefined problems with entrepreneurial ...
Senior Data Scientist
Philadelphia, PA · On-site
Apply causal inference, Bayesian modeling, survival analysis, and simulation to solve high-stakes business problems. * Translate ambiguity to impact: Frame undefined problems with entrepreneurial ...
Data Scientist, Growth Analytics
Los Angeles, CA · On-site +1
Evaluate and implement advanced statistical techniques - including Bayesian modeling, causal inference, uplift modeling, and media mix modeling - to improve marketing measurement and optimization.
Data Scientist, Growth Analytics
Los Angeles, CA · On-site +1
Evaluate and implement advanced statistical techniques - including Bayesian modeling, causal inference, uplift modeling, and media mix modeling - to improve marketing measurement and optimization.
Sr. Data Scientist
Manhattan, NY · On-site
Experience with Bayesian modeling frameworks such as PyMC or similar tools * Experience calibrating or validating MMM results with incrementality tests, or integrating multiple measurement methods ...
Sr. Data Scientist
Manhattan, NY · On-site
Experience with Bayesian modeling frameworks such as PyMC or similar tools * Experience calibrating or validating MMM results with incrementality tests, or integrating multiple measurement methods ...
Data Scientist
OR · On-site +1
Contribute to the development, implementation, and maintenance of our marketing models, including a Bayesian Marketing Mix Model and a Multi-Touch Attribution model. * Monitor and analyze marketing ...
Data Scientist
OR · On-site +1
Contribute to the development, implementation, and maintenance of our marketing models, including a Bayesian Marketing Mix Model and a Multi-Touch Attribution model. * Monitor and analyze marketing ...
Applied Scientist- Pricing
Miami, FL · On-site
$156K - $335K/yr
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 ...
Applied Scientist- Pricing
Miami, FL · On-site
$156K - $335K/yr
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 ...
Contribute to the development, implementation, and maintenance of our marketing models, including a Bayesian Marketing Mix Model and a Multi-Touch Attribution model. * Monitor and analyze marketing ...
Contribute to the development, implementation, and maintenance of our marketing models, including a Bayesian Marketing Mix Model and a Multi-Touch Attribution model. * Monitor and analyze marketing ...
Staff Data Scientist, Marketing Inference
OR · On-site +1
Contribute to the development, implementation, and maintenance of our marketing models, including a Bayesian Marketing Mix Model and a Multi-Touch Attribution model. * Monitor and analyze marketing ...
Staff Data Scientist, Marketing Inference
OR · On-site +1
Contribute to the development, implementation, and maintenance of our marketing models, including a Bayesian Marketing Mix Model and a Multi-Touch Attribution model. * Monitor and analyze marketing ...
Familiarity with advanced statistical techniques (e.g., fixed-effect / random-effect models, generalized additive models, Bayesian modeling, probabilistic programming). * Experience with machine ...
Familiarity with advanced statistical techniques (e.g., fixed-effect / random-effect models, generalized additive models, Bayesian modeling, probabilistic programming). * Experience with machine ...
Bayesian Modeling information
See salary details
$10.34 - $16.96
4% of jobs
$16.96 - $23.58
1% of jobs
$23.58 - $30.20
2% of jobs
$30.20 - $36.82
0% of jobs
$36.82 - $43.44
3% of jobs
$43.44 - $50.07
8% of jobs
$52.45 is the 25th percentile. Wages below this are outliers.
$50.07 - $56.69
17% of jobs
The median wage is $60.57 / hr.
$56.69 - $63.31
24% of jobs
$67.60 is the 75th percentile. Wages above this are outliers.
$63.31 - $69.93
23% of jobs
$69.93 - $76.55
12% of jobs
$76.55 - $83.17
5% of jobs
$10
$58
$83
How much do bayesian modeling jobs pay per hour?
As of Sep 12, 2026, the average hourly pay for bayesian modeling in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 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.
More about Bayesian Modeling jobs
What cities are hiring for Bayesian Modeling jobs?
Cities with the most Bayesian Modeling job openings:
What states have the most Bayesian Modeling jobs?
States with the most job openings for Bayesian Modeling jobs include:
What job categories do people searching Bayesian Modeling jobs look for?
The top searched job categories for Bayesian Modeling jobs are:
- Bayesian Optimization
- Principal Machine Learning Engineer
- Remote Healthcare Machine Learning
- Founding Machine Learning Engineer
- Senior Meta Machine Learning
- Deep Learning Quantization
- Probabilistic Programming Bayesian
- Contract Apple Machine Learning Engineer
- Polars Data
- Senior Tesla Machine Learning Engineer
What other helpful pages are available for Bayesian Modeling?
Other pages related to Bayesian Modeling:
2027 Summer Intern, MS/PhD, Data Science - Commercialization Testing
San Francisco, CA
Waymo
• Internet and IT • 1 - 5K employees1,001 - 5,000 employees
$70/hr
Full-time
Posted 11 days ago
Job description
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who'll help us maintain strong teamwork and are passionate about driving results.
Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!
You will:
- Develop, implement, and refine Bayesian forecasting models to interpret small-sample test results.
- Build and optimize predictive analytics models to monitor fleet operations and analyze vehicle behavior.
- Collaborate with Test Engineers to design experimental procedures on closed courses and simulation environments.
- Extract, process, and analyze large-scale, high-dimensional datasets from vehicle logs and depot operations using Python and SQL.
- Partner with Systems Engineering, Software Engineering, and Product teams to determine key performance characteristics for model coverage.
You have:
- Enrolled in a graduate program (Master's or PhD) in Data Science, Statistics, Operations Research, Civil Engineering (with a focus on traffic/mobility analytics), or a highly quantitative field.
- Strong foundation in predictive analytics, Bayesian modeling, and statistical inference.
- Proficiency in writing production-quality Python.
- Strong SQL skills with experience querying and synthesizing data from large-scale databases.
- Strong communication skills to present complex quantitative results and statistical limitations clearly to non-technical stakeholders.
We prefer:
- Academic coursework or research experience in traffic flow theory, intelligent transportation systems, fleet routing, or urban mobility.
- Familiarity with autonomous vehicle technology, simulation-based testing (SIL/HIL), or systems engineering principles.
- Experience with survival analysis, probability modeling, or extreme value theory applied to safety-critical systems.
- Comfort navigating highly ambiguous, unstructured problems in a fast-paced R&D environment.
Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.
The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements.
Hourly Masters Pay $70-$70 USD
The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements.
Hourly PhD Pay $85-$85 USD
About Waymo
Sourced by ZipRecruiter
Industry
Internet and it
Company size
1,001 - 5,000 Employees
Headquarters location
Mountain View, CA, US
Year founded
2009