ZipRecruiter

Log In

1

Mid Level Bayesian Statistics Jobs in California

Swish Analytics

Data Scientist

San Francisco, CA · Remote

$150K/yr

... growing into top-level simulation output modeling as we expand to new sports. * Develop ... Experience in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics ...

Swish Analytics

Data Scientist

San Francisco, CA · On-site +1

$150K/yr

... growing into top-level simulation output modeling as we expand to new sports. * Develop ... Experience in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics ...

next page

Showing results 1-20

All JobsMid Level Bayesian Statistics JobsMid Level Bayesian Statistics Jobs in California

Mid Level Bayesian Statistics information

What is the difference between Mid Level Bayesian Statistics vs Data Scientist?

AspectMid Level Bayesian StatisticsData Scientist
Required CredentialsMaster's or PhD in Statistics, Mathematics, or related fieldBachelor's or higher in Data Science, Computer Science, or related field
Work EnvironmentResearch-focused, analytical, often in finance, healthcare, or academiaCross-functional teams, data analysis, machine learning, business insights
Industry UsageStatistical modeling, probabilistic analysis, research projectsData analysis, predictive modeling, data visualization

Mid Level Bayesian Statistics specialists focus on advanced probabilistic modeling and statistical inference, often in research or specialized industries. Data Scientists have a broader scope, combining statistical analysis with programming and machine learning to solve business problems. While both roles require strong analytical skills, Bayesian statisticians typically emphasize probabilistic models, whereas Data Scientists integrate multiple techniques for data-driven decision-making.

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 Mid Level Bayesian Statistics jobs in California?

For Mid Level Bayesian Statistics jobs in California, the most frequently searched job titles are:

What job categories do people searching Mid Level Bayesian Statistics jobs in California look for?

The top searched job categories for Mid Level Bayesian Statistics jobs in California are:

What cities in California are hiring for Mid Level Bayesian Statistics jobs?

Cities in California with the most Mid Level Bayesian Statistics job openings:

Mid Level Bayesian Statistics jobs near you

Bayesian Statistics Expert - Problem Designer

Mercor

San Francisco, CA • Remote

$70 - $100/hr

Full-time

Re-posted 21 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: Computational Bayesian Statistics and Applied Mathematics Expert
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to test AI capabilities in solving scientific and engineering tasks.
  • Develop problems requiring the use of specialized scientific software for simulations and experiment design.
  • Refine problems through iterative testing against state-of-the-art AI models to achieve target difficulty.
  • Collaborate on creating tasks that require strategic thinking and efficient information extraction.
  • Work independently to enhance problem designs based on feedback and model performance.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with at least one scientific software library (PyMC, FEniCS, etc.).
  • Strong Python skills for writing problem setups and solution validators.
  • Ability to work independently and refine problem designs.
  • Comfortable in a Linux/terminal environment with remote compute sandboxes.
  • Available for at least 15–20 hours/week.

Preferred

  • Experience across multiple domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching 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.