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Bayesian Statistics Jobs in California (NOW HIRING)

Mercor

Bayesian Statistics Expert - PhD

San Francisco, CA · Remote

$70 - $100/hr

STEM Computational Scientific Software & Evaluation Design - Computational Bayesian Statistics and Applied Mathematics Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 15-20 ...

Ohalo

Quantitative Geneticist

San Francisco, CA · On-site

... with Bayesian statistics, applying methods such as Bayesian GBLUP, hierarchical models, and clustering using MCMC or variational inference. • Familiarity with decision theory and online ...

Ohalo

Quantitative Geneticist

San Francisco, CA · On-site +1

Proven experience with Bayesian statistics, applying methods such as Bayesian GBLUP, hierarchical models, and clustering using MCMC or variational inference. * Familiarity with decision theory and ...

Ohalo

Quantitative Geneticist

South San Francisco, CA · On-site

Proven experience with Bayesian statistics, applying methods such as Bayesian GBLUP, hierarchical models, and clustering using MCMC or variational inference. * Familiarity with decision theory and ...

Ohalo

Quantitative Geneticist

South San Francisco, CA · On-site +1

Proven experience with Bayesian statistics, applying methods such as Bayesian GBLUP, hierarchical models, and clustering using MCMC or variational inference. * Familiarity with decision theory and ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods * 5+ years of demonstrated experience developing and delivering ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA

$135K - $190K/yr

Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods * 5+ years of demonstrated experience developing and delivering ...

JF Retail Services

Data Scientist II

El Segundo, CA · On-site

You bring expertise in Bayesian modeling and a strong statistical foundation, approaching ambiguous problems with structure. When faced with an unknown, you don't stop at the question; you identify ...

Fabletics

Data Scientist II

El Segundo, CA · On-site

You bring expertise in Bayesian modeling and a strong statistical foundation, approaching ambiguous problems with structure. When faced with an unknown, you don't stop at the question; you identify ...

Prodege, LLC

Senior Data Scientist

El Segundo, CA · On-site

... statistical experimentation frameworks (Bayesian and frequentist) and tooling. • Partner with teams on hypotheses, success metrics, and post-test actions. • Own the capture and scaling of ...

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How much do bayesian statistics jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for bayesian statistics in California is $14.96, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $14.95 per hour, depending on experience, location, and employer.

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 is a Bayesian Statistics job?

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 is a Bayesian statistician?

A Bayesian statistician is a professional who applies Bayesian methods to analyze data, update probabilities, and make inferences. They often use statistical software and require strong mathematical skills to develop models that incorporate prior knowledge and evidence.

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 can develop probabilistic models to analyze data, make predictions, and update beliefs based on new information. These skills are valuable in fields like data science, machine learning, and research, often using tools such as R or Python. Bayesian methods support decision-making under uncertainty and are applicable in various industries including healthcare, finance, and technology.

Is Bayesian statistics difficult?

Bayesian statistics as a job involves understanding probability models and applying statistical software like R or Python. It can be challenging initially due to its mathematical concepts, but with practice and training, it becomes manageable for those with a background in mathematics or data analysis.
What are the most commonly searched types of Bayesian Statistics jobs in California? The most popular types of Bayesian Statistics jobs in California are:
What are popular job titles related to Bayesian Statistics jobs in California? For Bayesian Statistics jobs in California, the most frequently searched job titles are:
What job categories do people searching Bayesian Statistics jobs in California look for? The top searched job categories for Bayesian Statistics jobs in California are:
Bayesian Statistics jobs near you
Infographic showing various Bayesian Statistics job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $31,120 per year, or $15 per hour.

Bayesian Statistics Expert - PhD

Mercor

San Francisco, CA • Remote

$70 - $100/hr

Full-time

Posted 4 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: STEM Computational Scientific Software & Evaluation Design - Computational Bayesian Statistics and Applied Mathematics
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design graduate-level computational problems using domain-specific scientific software libraries such as PyMC, PyStan, FEniCS, and GUDHI.
  • Develop problems that require strategic reasoning, including designing sequences of queries or experiments to uncover hidden information.
  • Calibrate tasks against state-of-the-art AI models and refine problem designs to achieve target difficulty levels.
  • Collaborate independently and asynchronously to iterate on problem designs based on calibration feedback.
  • Utilize strong Python programming skills to write problem setups, oracle functions, and solution validators.
  • Work comfortably in a Linux/terminal environment with remote compute sandboxes.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience).
  • Proficiency with at least one scientific software library such as PyMC, FEniCS, or GUDHI.
  • Strong Python programming skills.
  • Ability to work independently and iterate on problem designs.
  • Comfortable in a Linux/terminal environment.

Preferred

  • Experience across multiple listed domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific pedagogy or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.