ZipRecruiter

Log In

1

Mid Level Bayesian Statistics Jobs (NOW HIRING)

Mercor

Bayesian Statistics Expert - PhD

San Francisco, CA · Remote

$70 - $100/hr

STEM Computational Scientific Software & Evaluation Design - Computational Bayesian Statistics and ... Design graduate-level computational problems using domain-specific scientific software libraries ...

USAA

Model Validator (Mid-Level) - Fraud/AML

Tampa, FL · Hybrid

$93K - $179K/yr

The Opportunity As a dedicated Model Validator (Mid-Level) , you will execute model risk validation ... Working Experience with statistical, econometric, data science, or predictive modeling approaches ...

USAA

Model Validator (Mid-Level) - Fraud/AML

Plano, TX · Hybrid

$93K - $179K/yr

The Opportunity As a dedicated Model Validator (Mid-Level) , you will execute model risk validation ... Working Experience with statistical, econometric, data science, or predictive modeling approaches ...

USAA

Model Validator (Mid-Level) - Fraud/AML

Phoenix, AZ · Hybrid

$93K - $179K/yr

The Opportunity As a dedicated Model Validator (Mid-Level) , you will execute model risk validation ... Working Experience with statistical, econometric, data science, or predictive modeling approaches ...

USAA

Model Validator (Mid-Level) - Fraud/AML

Tampa, FL · Hybrid

$93K - $179K/yr

The Opportunity As a dedicated Model Validator (Mid-Level) , you will execute model risk validation ... Working Experience with statistical, econometric, data science, or predictive modeling approaches ...

USAA

Model Validator (Mid-Level) - Fraud/AML

Atascosa, TX · Hybrid

$93K - $179K/yr

The Opportunity As a dedicated Model Validator (Mid-Level) , you will execute model risk validation ... Working Experience with statistical, econometric, data science, or predictive modeling approaches ...

USAA

Model Validator (Mid-Level) - Fraud/AML

Phoenix, AZ · Hybrid

$93K - $179K/yr

The Opportunity As a dedicated Model Validator (Mid-Level) , you will execute model risk validation ... Working Experience with statistical, econometric, data science, or predictive modeling approaches ...

USAA

Model Validator (Mid-Level) - Fraud/AML

Charlotte, NC · Hybrid

$93K - $179K/yr

The Opportunity As a dedicated Model Validator (Mid-Level) , you will execute model risk validation ... Working Experience with statistical, econometric, data science, or predictive modeling approaches ...

Lilly

Research Advisor - Statistics

Indianapolis, IN · On-site

... Bayesian statistics, causal inference, genetic/biomarker analysis, machine learning and more! The ... level of customer focus and collaboration and be seen as a strong scientific contributor.

Thermo Fisher Scientific

Lead Statistician HEOR

MD · Remote

Provide guidance and advice as needed for junior and mid-level staff on projects requiring use of ... PhD in Biostatistics/Statistics or related field with 4+ years of experience, MSc in Biostatistics ...

next page

Showing results 1-20

All JobsMid Level Bayesian Statistics Jobs

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.

More about Mid Level Bayesian Statistics jobs
What cities are hiring for Mid Level Bayesian Statistics jobs? Cities with the most Mid Level Bayesian Statistics job openings:
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 Mid Level Bayesian Statistics jobs? States with the most job openings for Mid Level Bayesian Statistics jobs include:
What job categories do people searching Mid Level Bayesian Statistics jobs look for? The top searched job categories for Mid Level Bayesian Statistics jobs are:
Mid Level Bayesian Statistics jobs near you
Infographic showing various Mid Level Bayesian Statistics job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.

Bayesian Statistics Expert - PhD

Mercor

San Francisco, CA • Remote

$70 - $100/hr

Full-time

Posted 10 days ago

Be an early applicant

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.