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Bayesian Statistics Jobs in Texas (NOW HIRING)

Apple

Demographic Data Scientist

Austin, TX · On-site

Experience with statistical methods such as Bayesian methods to identify trends and anomalies in multivariate and/or medium-sized and/or large-scale datasets. Experience with human anthropometric ...

Roku

Senior Machine Learning Engineer

Austin, TX

$121K - $160K/yr

Use machine learning and statistical modelling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis and others to develop and evaluate algorithms for improving ...

Apple Inc.

Demographic Data Scientist

Austin, TX · On-site

Experience with statistical methods such as Bayesian methods to identify trends and anomalies in multivariate and/or medium‑sized and/or large‑scale datasets. * Experience with human ...

TeleWorld Solutions Inc

Machine Learning Engineer

Plano, TX · On-site

$53.50 - $71/hr

Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product ... Bayesian Regression, and Times Series Modeling. * Experience using data with high-volume (1TB ...

TeleWorld Solutions

Machine Learning Engineer

Plano, TX · On-site

Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product ... Bayesian Regression, and Times Series Modeling. * Experience using data with high-volume (1TB ...

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How much do bayesian statistics jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for bayesian statistics in Texas is $13.23, according to ZipRecruiter salary data. Most workers in this role earn between $13.22 and $13.22 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 popular job titles related to Bayesian Statistics jobs in Texas?

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

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

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

Bayesian Statistics jobs near you
Infographic showing various Bayesian Statistics job openings in Texas as of September 2026, with employment types broken down into 2% Internship, 80% Full Time, 17% Part Time, and 1% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $27,518 per year, or $13.2 per hour.

Senior Biostatistician

Houston, TX • On-site

Infotree Global Solutions
See more jobs at Infotree Global Solutionsexternal

Full-time

Posted 13 days ago

Job description

  • The company maintains a highly qualified workforce to help care for service people and astronauts.
  • We attract the best minds in the world because our expertise thrives on creativity, resourcefulness, and collaboration. That is how we supply our Infotrees with cutting-edge solutions and services. We are seeking a Biostatistician to support our Biomedical and Environmental Research Department for the company's Science and Space division.
  • The Biostatistician will provide professional leadership, consulting skills, and expertise in the application of statistical theory and practice in support of ongoing investigations.
  • Responsibilities include critically analyzing clinical and research data, assimilating findings through the application of statistical principles and practices requiring comprehensive expertise, building visualizations to convey results, and effectively communicating methods and results to a variety of technical and management audiences with varying levels of statistical knowledge.

Job Responsibilities:

  • Serve as a statistical expert consultant for assigned research and occupational surveillance projects using clinical and experimental biomedical data.
  • Assist with study design and develop statistical plans for data analysis in support of proposed research questions.
  • Participate in statistical reviews of ongoing projects to ensure appropriateness of statistical methodology, verify the quality and accuracy of statistical analyses, and ensure accurate reporting and interpretation of analyses.
  • Develop statistical deliverables (i.e., analysis plans, methodology and statistical results sections, interpretation of results) for data requests, clinical reports, presentations, and manuscripts.
  • Assist with the preparation of data summary charts as required.
  • Effectively communicate statistical concepts to non-statisticians (managers, researchers in other fields, etc.).
  • Draft and edit reports and manage the long-term progression of papers, presentations, or poster sessions among research and epidemiology groups.
  • Participate and present information in biostatistics and epidemiology technical information exchange meetings and educational forums.
  • Collaborate with the team to design and develop novel statistical methods needed to analyze biomedical data.
  • Other tasks as directed.

Required Skills

  • Demonstrated experience with multiple types of statistical analysis methods including generalized linear and nonlinear models with repeated measures, non-parametric modeling and analysis, mixed method modeling, Bayesian analysis, survival analysis, longitudinal evaluation of data, and techniques for dealing with missing data.
  • Ability to be creative in developing tailor-made methods for analyzing "small-n" data sets
  • Strong knowledge of statistical methods, including advanced inferential statistical theory and methodology that can be applied to a variety of dependent measures.
  • Demonstrated familiarity with statistical software such as SAS, Stata, or R with a minimum of 3 years experience in writing analysis code.
  • Demonstrated knowledge in study design and statistical approaches.
  • Superior analytical, planning, problem-solving, and decision-making skills.
  • Excellent written and oral communication skills including effectively explaining complex statistical concepts to non-statisticians.
  • Ability to work effectively in a multi-disciplinary setting.
  • Ability to effectively manage multiple concurrent tasks and seek direction on competing priorities.
  • Maintain current CITI Human Subjects Research - Biomedical Research certification.

Required Education/Experience:

  • Candidates must meet the requirements listed below to be considered for this position; please note the required items on your resume.
  • This position requires US Citizenship or Permanent Resident status due to the sensitivity of customer-related information.

Education:
• Ph.D. degree in Biostatistics or Statistics with at least 5 years of relevant work

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