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Remote Bayesian Jobs in California (NOW HIRING)

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

This is a remote position, but we do have an office in San Fransisco. You will be the first data ... Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization ...

Data Scientist

San Francisco, CA · On-site +1

$160K - $200K/yr

This is a remote position, but we do have an office in San Fransisco. You will be the first data ... Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization ...

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ... Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics ...

This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ... Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics ...

Explainable AI Engineer

Palo Alto, CA · On-site +1

$114.90K - $157.30K/yr

Bayesian estimation * Mathematical optimization * Decision and Control * Experience with MATLAB ... This is a remote position. USA, Nationwide. Proximity to either our Palo Alto, CA or Atlanta, GA ...

... Bayesian inference * Experience in product analytics with a focus on mobile apps or building zero ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

... Bayesian inference * Experience in product analytics with a focus on mobile apps or building zero ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

... Bayesian inference * Experience in product analytics with a focus on mobile apps or building zero ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

... Bayesian inference * Experience in product analytics with a focus on mobile apps or building zero ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

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Remote Bayesian information

What are the key skills and qualifications needed to thrive as a Remote Bayesian, and why are they important?

To thrive as a Remote Bayesian, you need strong statistical knowledge, expertise in Bayesian inference, and a background in mathematics or data science, often supported by an advanced degree. Familiarity with programming languages like Python or R, Bayesian software such as Stan or PyMC, and experience with remote collaboration tools are typically required. Critical thinking, problem-solving, and clear communication are essential soft skills for interpreting results and working with distributed teams. These abilities are vital for delivering accurate, actionable insights in a remote environment where clear analysis and collaboration drive project success.

How do Remote Bayesian professionals typically collaborate with cross-functional teams given the virtual nature of their work?

Remote Bayesian professionals often work closely with data scientists, engineers, and decision-makers through virtual collaboration tools such as video conferencing, shared code repositories, and project management platforms. Clear communication is key, as they must explain complex probabilistic models and inferences to both technical and non-technical stakeholders. Regular check-ins and documentation help ensure alignment on project goals, data requirements, and model outcomes. This collaborative dynamic fosters an environment where insights from Bayesian analysis can directly inform business or research decisions, despite the physical distance.

What is a Remote Bayesian?

A Remote Bayesian is a professional who specializes in Bayesian statistics and probabilistic modeling while working remotely, often in fields like data science, machine learning, or research. They use Bayesian methods to update probabilities and make predictions based on data, collaborating with teams through digital communication tools. Remote Bayesians may work for tech companies, research institutions, or as independent consultants, applying their expertise to solve complex problems without being tied to a physical office location.

What is the difference between Remote Bayesian vs Remote Data Scientist?

AspectRemote BayesianRemote Data Scientist
Required CredentialsBackground in statistics, Bayesian methods, programming (Python/R)Statistics, computer science, or related degree; programming skills
Work EnvironmentResearch-focused, analytical tasks, often in tech or financeData analysis, modeling, business insights across industries
Industry UsageResearch institutions, AI, machine learning, financeTech companies, consulting, finance, healthcare

Remote Bayesian specialists focus on Bayesian statistical methods and probabilistic modeling, often in research or AI contexts. Remote Data Scientists have broader roles in data analysis and modeling across various industries. While both roles require strong analytical skills and programming, Remote Bayesian roles emphasize Bayesian techniques, whereas Remote Data Scientist roles encompass a wider range of data analysis tasks.

What are the most commonly searched types of Bayesian jobs in California? The most popular types of Bayesian jobs in California are:
What cities in California are hiring for Remote Bayesian jobs? Cities in California with the most Remote Bayesian job openings:
Infographic showing various Remote Bayesian job openings in California as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Hybrid job distribution.
Data Scientist

Data Scientist

Federato Technologies

San Francisco, CA • Remote

$160K - $200K/yr

Full-time

Posted 26 days ago


Job description

Company Description

Federato Technologies is a Series A startup based in San Fransisco, CA looking to hire a data scientist. Federato is a venture backed company funded by some of the most prominent VC's in the Bay Area. We build software to help large insurance carriers improve their portfolio optimization. Our goal is to close down the $150B insurance gap by making insurance affordable again. The initial algorithms used in our product spun out off the founders published research in Reinforcement Learning, Statistics, and Optimization.

The role will report directly to the CTO. Next to the CTO, you will be first Data Scientist on the team building out models and algorithms pivotal to our value proposition. 

This is a remote position, but we do have an office in San Fransisco.

Job Description

You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our business. You will have a huge impact on our success and will be part of a fast growing team!

Qualifications
  • Demonstrated interest in engineering for impact

  • 2+ years of hands-on industry experience with machine learning and optimization models

  • 2+ years of experience with model deployment, monitoring and version control

  • Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization), either PhD or Advanced MS degree.

  • Comfortable with Python, Flask/Django, Pandas and Numpy

  • Demonstrated ability to pick up new technologies quickly and learn on the spot

Additional Information

Pay Range: $160k - $200k