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Bayesian Statistics Jobs in Arizona (NOW HIRING)

Deep knowledge of mathematical statistics, maximum likelihood estimation, sufficient statistics, hypothesis testing theory, Bayesian inference, regression analysis, multivariate methods, experimental ...

Deep knowledge of mathematical statistics, maximum likelihood estimation, sufficient statistics, hypothesis testing theory, Bayesian inference, regression analysis, multivariate methods, experimental ...

Deep knowledge of mathematical statistics, maximum likelihood estimation, sufficient statistics, hypothesis testing theory, Bayesian inference, regression analysis, multivariate methods, experimental ...

Deep knowledge of mathematical statistics, maximum likelihood estimation, sufficient statistics, hypothesis testing theory, Bayesian inference, regression analysis, multivariate methods, experimental ...

Deep knowledge of mathematical statistics, maximum likelihood estimation, sufficient statistics, hypothesis testing theory, Bayesian inference, regression analysis, multivariate methods, experimental ...

Bachelors degree in mathematics, statistics, physics, pharmacology or with a strong statistical ... Experience of Bayesian approaches to design and analysis of clinical data preferred. * Experience ...

Solid grounding in statistics: hypothesis testing, confidence intervals, regression, and Bayesian methods * Knowledge of MLOps tools and cloud platforms, especially Databricks (Spark, MLfl ow), AWS ...

Solid grounding in statistics: hypothesis testing, confidence intervals, regression, and Bayesian methods * Knowledge of MLOps tools and cloud platforms, especially Databricks (Spark, MLfl ow), AWS ...

Solid grounding in statistics: hypothesis testing, confidence intervals, regression, and Bayesian methods * Knowledge of MLOps tools and cloud platforms, especially Databricks (Spark, MLfl ow), AWS ...

Bayesian Statistics information

See Arizona salary details

$5

$13

$14

How much do bayesian statistics jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for bayesian statistics in Arizona is $13.87, according to ZipRecruiter salary data. Most workers in this role earn between $13.85 and $13.85 per hour, depending on experience, location, and employer.

What is Bayesian statistics?

A Bayesian Statistics job involves using Bayesian methods to analyze data, update probabilities, and make inferences based on prior knowledge. Professionals in this field apply Bayesian techniques in areas like machine learning, finance, healthcare, and scientific research. They typically work with probabilistic models, statistical software, and programming languages such as Python or R. These roles require strong mathematical skills and are often found in academia, industry, and government research.

What does a typical day look like for someone working in Bayesian statistics?

A typical day for a professional specializing in Bayesian Statistics often involves designing and running statistical models, analyzing datasets using Bayesian methods, and programming in tools like R or Python. You may collaborate with data scientists, researchers, and subject matter experts to define problems and interpret statistical results. Responsibilities can also include presenting findings to non-technical stakeholders, developing new modeling techniques, and staying updated with advances in Bayesian methodology. The role offers a dynamic mix of technical analysis, problem-solving, and teamwork, making each day intellectually engaging.

What are the key skills and qualifications needed to thrive in the Bayesian statistics position, and why are they important?

To thrive in Bayesian Statistics, you need a deep understanding of probability theory, statistical modeling, and strong programming skills, usually supported by an advanced degree in statistics, mathematics, or a related field. Familiarity with technical tools like R, Python, Stan, and software for Bayesian inference, as well as relevant certifications, is often required. Analytical thinking, attention to detail, and the ability to clearly communicate complex concepts are essential soft skills. These skills and qualities ensure accurate and interpretable statistical analyses, effective collaboration with cross-functional teams, and reliable data-driven decision making.

What can you do with Bayesian statistics?

A professional in Bayesian statistics applies probabilistic models to analyze data, make predictions, and update beliefs based on new information. This skill is used in fields like data science, machine learning, and research to improve decision-making and model uncertainty. Proficiency in statistical software such as R or Python is often required.

What is a Bayesian statistician?

A Bayesian statistician is a professional who applies Bayesian methods to analyze data, update probabilities, and make statistical inferences. They often use tools like statistical software and require strong knowledge of probability theory and modeling techniques to interpret data within a Bayesian framework.

What jobs use Bayesian statistics?

Jobs that use Bayesian statistics include data scientists, statisticians, machine learning engineers, and quantitative analysts. These roles often involve developing probabilistic models, analyzing data, and making predictions using Bayesian methods and tools like R or Python. Strong analytical skills and knowledge of statistical software are typically required.

What are the most commonly searched types of Bayesian Statistics jobs in Arizona?

The most popular types of Bayesian Statistics jobs in Arizona are:

What are popular job titles related to Bayesian Statistics jobs in Arizona?

For Bayesian Statistics jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Bayesian Statistics jobs in Arizona look for?

The top searched job categories for Bayesian Statistics jobs in Arizona are:

Infographic showing various Bayesian Statistics job openings in Arizona as of August 2026, with employment types broken down into 79% Full Time, 17% Part Time, 2% Temporary, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $28,844 per year, or $13.9 per hour.

Managing Scientist, Statistics (M.S. or Ph.D.)

Exponent Inc.

Phoenix, AZ • On-site

$100 - $140/hr

Other

Re-posted 26 days ago


Job description

Our Opportunity

We are currently seeking a Managing Scientist, Statistics for our Data Sciences Practice in Phoenix, AZ. In this role, you will be engaged on diverse projects in the collection, management, visualization, and inferential analysis of data. You will support and lead teams to help our clients solve challenging technical problems which are often urgent, high profile, and multi-disciplinary. You will be involved in a variety of projects in application areas including public health, automobiles, consumer products, and military systems.

You will be responsible for
  • 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
  • Management of complex projects involving multiple tasks and multidisciplinary teams
  • Development of relationships and generation of business with new and existing clients
  • Mentoring and supervision of talented Scientists and Senior Scientists in statistics
You will have the following skills and qualifications
  • Ph.D. or M.S. degree with a minimum of seven years of work experience in Statistics or Biostatistics
  • Excellent communication skills and the ability to communicate statistical concepts to non-technical audiences
  • Experience or capabilities in subject areas such as statistical data mining, analysis of reliability and life data, experimental design, Bayesian statistics, machine learning, or quality control/improvement
  • Business development skills and professional consulting experience
  • A strong record of professional contributions as evidenced by publications or related activities

Applicants are encouraged to submit a CV with publications (feel free to include publications that are in review or pending).

Work Environment

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.

Benefits you will enjoy

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.

Job Locations

US-AZ-Phoenix

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