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Bayesian Jobs in Florida (NOW HIRING)

Deep knowledge of mathematical statistics, maximum likelihood estimation, sufficient statistics, hypothesis testing theory, Bayesian inference, regression analysis, multivariate methods, experimental ...

Deep knowledge of mathematical statistics, maximum likelihood estimation, sufficient statistics, hypothesis testing theory, Bayesian inference, regression analysis, multivariate methods, experimental ...

Experience of Bayesian approaches to design and analysis of clinical data preferred. * Experience of early-phase drug development processes including innovative/ adaptive study design preferred.

Unsupervised learning (clustering, anomaly detection), hierarchical/probabilistic forecasting, Bayesian methods, or causal inference * Experience optimizing models for business ROI; exposure to ...

Unsupervised learning (clustering, anomaly detection), hierarchical/probabilistic forecasting, Bayesian methods, or causal inference * Experience optimizing models for business ROI; exposure to ...

... Bayesian framework, and predictive model development and validation. • Implements bioinformatic pipelines and performs data analysis to support omics studies, including genotype data, bulk and ...

Conducts complex statistical analyses on observational studies and clinical trials, applying techniques including regression models, multiple imputation, nonparametric methods, Bayesian framework ...

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Bayesian information

See Florida salary details

$119.1K

$127.5K

$136.6K

How much do bayesian jobs pay per year?

As of Jun 9, 2026, the average yearly pay for bayesian in Florida is $127,455.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,472.00 and $131,438.00 per year, depending on experience, location, and employer.

What are the typical projects or challenges faced in a Bayesian-focused role?

In a Bayesian role, you’ll often work on projects involving probabilistic modeling, uncertainty quantification, and predictive analytics for real-world decision-making. Common challenges include structuring prior distributions, ensuring computational efficiency for complex models, and clearly explaining Bayesian results to non-technical stakeholders. You might collaborate closely with data engineers, domain experts, and business analysts to refine models and translate findings into actionable recommendations. This role offers the opportunity to tackle diverse analytical problems across industries like healthcare, finance, or tech, supporting ongoing professional growth and learning.

What is a Bayesian job?

A Bayesian job typically involves applying Bayesian statistics, probabilistic modeling, and inference techniques to analyze data and make decisions under uncertainty. Professionals in this field use Bayes' theorem to update beliefs based on new evidence, often working in areas like machine learning, finance, healthcare, and research. Common roles include Bayesian statisticians, data scientists, and researchers who build probabilistic models to improve predictions and decision-making.

What are the key skills and qualifications needed to thrive in the Bayesian position, and why are they important?

To thrive as a Bayesian (typically a Bayesian Data Scientist or Statistician), you need a strong background in probability theory, statistical modeling, and mathematics, often with an advanced degree in statistics, data science, or a related quantitative field. Experience with programming languages such as Python or R, Bayesian analysis libraries (e.g., Stan, PyMC), and familiarity with statistical software are commonly required. Analytical thinking, collaborative teamwork, and the ability to communicate complex results clearly are valuable soft skills in this role. These abilities are essential for designing robust models, interpreting data accurately, and delivering actionable insights to interdisciplinary teams.

Infographic showing various Bayesian job openings in Florida as of May 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $127,455 per year, or $61.3 per hour.
Statistics Graduate Level Tutor

Statistics Graduate Level Tutor

Varsity Tutors

Coral Gables, FL • Remote

$40/hr

Part-time

Posted 4 days ago


Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 21 rated private schools and tutoring


Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Statistics Graduate Level tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Statistics Graduate Level Tutor
  • Advanced Subject Mastery: Deep knowledge of mathematical statistics, maximum likelihood estimation, sufficient statistics, hypothesis testing theory, Bayesian inference, regression analysis, multivariate methods, experimental design, and nonparametric statistics. Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while preparing students for research methodology and doctoral-level statistical analysis.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down likelihood function derivations, posterior distribution calculations, and ANOVA decompositions. Guides students through designing experiments, performing multivariate analysis, constructing confidence regions, and implementing statistical models in software. Emphasizes theoretical foundations and connects advanced statistics to biostatistics, econometrics, and machine learning research applications.
  • Curriculum Awareness & Adaptive Instruction: Familiar with graduate statistics curricula and common challenges such as understanding measure-theoretic probability foundations, deriving estimator properties, and interpreting complex model outputs. Adapts instruction using R or Python statistical computing, research paper examples, and proof-based exercises to support masters and doctoral students across quantitative disciplines.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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