ZipRecruiter

Log In

1

Bayesian Statistics Jobs (NOW HIRING)

Simplex Trading

Volatility Trader

Chicago, IL

Strong practical foundation in options theory and Bayesian statistics/probability. * Strong analytical judgment under uncertainty; able to operate decisively under constraints. * Precise technical ...

ChromoLogic

Senior Scientist, Bioinformatics

Monrovia, CA · On-site

$90K - $120K/yr

Apply advanced machine learning, Bayesian statistics, and predictive modeling techniques to identify biologically meaningful patterns and biomarkers * Design and execute end-to-end analytical ...

ROSALIND

Bioinformatics Engineer

San Diego, CA · On-site

... Bayesian statistics and multivariate analysis • Experience with version control systems (e.g., GitHub) • Experience building responsive web applications with Angular / JavaScript (Typescript ...

ICR, Inc.

Data Scientist - Aurora, CO

Aurora, CO · On-site

$100K - $210K/yr

Bayesian Statistics. * Proficient C/C++. * Big Data technologies such as Hadoop MapReduce, HDFS, Apache Spark, Apache Storm, ELK Stack. * Masters Degree or PhD in Mathematics, Physics, Statistics ...

ChromoLogic

Senior Scientist, Bioinformatics

Monrovia, CA · On-site

$90K - $120K/yr

Apply advanced machine learning, Bayesian statistics, and predictive modeling techniques to identify biologically meaningful patterns and biomarkers * Design and execute end-to-end analytical ...

previous pagenext page

Showing results 21-40

All JobsScience JobsBayesian Statistics Jobs

Bayesian Statistics information

See salary details

$68K

$90.1K

$107.5K

How much do bayesian statistics jobs pay per year?

As of Sep 13, 2026, the average yearly pay for bayesian statistics in the United States is $90,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $106,500.00 per year, 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.
More about Bayesian Statistics jobs

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

The most popular types of Bayesian Statistics jobs are:

What states have the most Bayesian Statistics jobs?

States with the most job openings for Bayesian Statistics jobs include:

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

The top searched job categories for Bayesian Statistics jobs are:

What other helpful pages are available for Bayesian Statistics?

Other pages related to Bayesian Statistics:

Bayesian Statistics jobs near you
Infographic showing various Bayesian Statistics job openings in the United States 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 $90,119 per year, or $43.3 per hour.

Azure Machine Learning Engineer

Santa Clara, CA • On-site

InterSources Inc
Recruiting and Staffing Services • 51 - 200 employees
Learn more about InterSources Incexternal

$64.50 - $80.25/hr

Full-time

Re-posted 20 days ago

Job description

Job Summary:
InterSources Inc is a Certified Diverse Supplier and Award-Winning Global Software Consultancy that offers innovative solutions for Digital Transformations. The Azure Machine Learning Engineer will design and implement scalable Azure cloud solutions, focusing on AI services and data analytics.
Responsibilities:
• Prior Experience Hands on experience on working in Azure cloud platform.
• Experience in designing and implementing scalable and secure Azure cloud solutions using Data Bricks Client platform.
• Understanding of implementation of architecture within Azure Big Data Analytics Al tools.
• Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake and Azure synapse analytics implementation.
• Experience in Azure cloud technologies like PySpark, Synapse, ADF, Databricks, Python, Scala and SQL.
• Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks
• Extensive Experience on working on Azure AI services including Data Bricks and Azure cognitive services.
• Highly preferred experience on working with Azure OpenAI services.
• Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools.
• Hands-on AI/Client modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/Client.
• Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization.
• Experience in creating and deploying code libraries using functions and classes in Python in AI product-focused development.
• Well-versed in software development and code quality best industry practices.
• Experience working with Agile Development methodologies.
Qualifications:
Required:
• Prior Experience Hands on experience on working in Azure cloud platform.
• Experience in designing and implementing scalable and secure Azure cloud solutions using Data Bricks Client platform.
• Understanding of implementation of architecture within Azure Big Data Analytics Al tools.
• Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake and Azure synapse analytics implementation.
• Experience in Azure cloud technologies like PySpark, Synapse, ADF, Databricks, Python, Scala and SQL.
• Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks.
• Extensive Experience on working on Azure AI services including Data Bricks and Azure cognitive services.
• Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools.
• Hands-on AI/Client modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/Client.
• Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization.
• Experience in creating and deploying code libraries using functions and classes in Python in AI product-focused development.
• Well-versed in software development and code quality best industry practices.
• Experience working with Agile Development methodologies.
Preferred:
• Highly preferred experience on working with Azure OpenAI services.
Company:
InterSources Inc. solves operational problems where protection, performance, compliance, AI, and workforce capability must work together. Founded in 2007, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.
InterSources logo

About InterSources

Sourced by ZipRecruiter

In 2007, Our journey began as pioneers in the realm of technology and security. Since then, InterSources Inc. has evolved into a trusted partner, leading the way in Cloud Security, Cybersecurity, PLG Consulting, Digital Transformation, and Professional Services. With a rich history of excellence and a forward-thinking approach, we continue to secure your digital future and drive innovation. Explore our legacy of success and discover the possibilities that lie ahead.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Fremont, CA, US

Social media

Twitter

View All InterSources Jobs

Apply