... modeling • Applying risk analysis methodologies to problems in engineering, health, finance ... Bayesian statistics, machine learning, or quality control/improvement • Minimum of two years ...
... modeling • Applying risk analysis methodologies to problems in engineering, health, finance ... Bayesian statistics, machine learning, or quality control/improvement • Minimum of two years ...
Statistics Graduate Level Tutor
Tucson, AZ · Remote
$40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Tucson, AZ · Remote
$40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Chandler, AZ · Remote
$40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Chandler, AZ · Remote
$40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Scottsdale, AZ · Remote
$40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Scottsdale, AZ · Remote
$40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Mesa, AZ · Remote
$40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Mesa, AZ · Remote
$40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Glendale, AZ · Remote
$40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Glendale, AZ · Remote
$40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Phoenix, AZ · Remote
$40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Phoenix, AZ · Remote
$40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Tempe, AZ · Remote
$40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Tempe, AZ · Remote
$40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Gilbert, AZ · Remote
$40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Gilbert, AZ · Remote
$40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
... modeling * Applying risk analysis methodologies to problems in engineering, health, finance ... Bayesian statistics, machine learning, or quality control/improvement * Minimum of two years ...
... modeling * Applying risk analysis methodologies to problems in engineering, health, finance ... Bayesian statistics, machine learning, or quality control/improvement * Minimum of two years ...
... modeling * Applying risk analysis methodologies to problems in engineering, health, finance ... design, Bayesian statistics, machine learning, or quality control/improvement * Business ...
... modeling * Applying risk analysis methodologies to problems in engineering, health, finance ... design, Bayesian statistics, machine learning, or quality control/improvement * Business ...
... modeling * Applying risk analysis methodologies to problems in engineering, health, finance ... design, Bayesian statistics, machine learning, or quality control/improvement * Business ...
... modeling * Applying risk analysis methodologies to problems in engineering, health, finance ... design, Bayesian statistics, machine learning, or quality control/improvement * Business ...
... modeling * Applying risk analysis methodologies to problems in engineering, health, finance ... Bayesian statistics, machine learning, or quality control/improvement * Minimum of two years ...
... modeling * Applying risk analysis methodologies to problems in engineering, health, finance ... Bayesian statistics, machine learning, or quality control/improvement * Minimum of two years ...
... modeling * Applying risk analysis methodologies to problems in engineering, health, finance ... Bayesian statistics, machine learning, or quality control/improvement * Minimum of two years ...
... modeling * Applying risk analysis methodologies to problems in engineering, health, finance ... Bayesian statistics, machine learning, or quality control/improvement * Minimum of two years ...
... modeling * Applying risk analysis methodologies to problems in engineering, health, finance ... design, Bayesian statistics, machine learning, or quality control/improvement * Business ...
... modeling * Applying risk analysis methodologies to problems in engineering, health, finance ... design, Bayesian statistics, machine learning, or quality control/improvement * Business ...
Bayesian Modeling information
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 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 Arizona? For Bayesian Modeling jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Bayesian Modeling jobs in Arizona look for? The top searched job categories for Bayesian Modeling jobs in Arizona are:
What cities in Arizona are hiring for Bayesian Modeling jobs? Cities in Arizona with the most Bayesian Modeling job openings:
Job description
Job Summary:
Exponent is a premium engineering and scientific consulting firm that seeks to empower clients with innovative solutions. The Statistical Scientist will be responsible for conducting exploratory data analysis, applying risk analysis methodologies, and developing reports and visualizations to address clients’ scientific and engineering challenges.
Responsibilities:
• 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
Qualifications:
Required:
• Ph.D. (or M.S. degree with two years' work experience post-graduation) 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 two years' experience with one or more statistical software packages (SAS and R are preferred)
• Ability to work independently and in multidisciplinary teams
• Presently legally authorized to work in the United States; no immigration sponsorship or processing required
Preferred:
• Programming skills (e.g., C++, SQL, Visual Basic, Python) and software or dashboard development experience are strongly preferred
Company:
With over 90 scientific and engineering disciplines, Exponent’s staff of approximately 900, located in 20 offices throughout the USA Founded in 1967, the company is headquartered in Menlo Park, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Exponent is a premium engineering and scientific consulting firm that seeks to empower clients with innovative solutions. The Statistical Scientist will be responsible for conducting exploratory data analysis, applying risk analysis methodologies, and developing reports and visualizations to address clients’ scientific and engineering challenges.
Responsibilities:
• 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
Qualifications:
Required:
• Ph.D. (or M.S. degree with two years' work experience post-graduation) 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 two years' experience with one or more statistical software packages (SAS and R are preferred)
• Ability to work independently and in multidisciplinary teams
• Presently legally authorized to work in the United States; no immigration sponsorship or processing required
Preferred:
• Programming skills (e.g., C++, SQL, Visual Basic, Python) and software or dashboard development experience are strongly preferred
Company:
With over 90 scientific and engineering disciplines, Exponent’s staff of approximately 900, located in 20 offices throughout the USA Founded in 1967, the company is headquartered in Menlo Park, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
About Exponent Partners
Sourced by ZipRecruiter
Industry
It services
Company size
11 - 50 Employees
Headquarters location
San Francisco, CA, US
Year founded
2005