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Bayesian Jobs in Florida (NOW HIRING)

Develop and implement advanced statistical models, including Bayesian hierarchical models, regression, survival analysis, and longitudinal data analyses techniques. * Collaborate with ...

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 ...

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 ...

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 ...

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

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Bayesian information

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 jobs pay 200,000 a year in the USA?

A Bayesian analyst or data scientist with advanced skills in statistical modeling and machine learning can earn around $200,000 annually, especially with experience and in high-demand industries like finance or tech. Senior roles in data science, machine learning engineering, and quantitative analysis often reach or exceed this salary level. Certifications in data analysis and proficiency with tools like Python, R, or SQL can enhance earning potential.

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 jobs make $1,000,000 a year?

In the field of Bayesian analysis, high-earning roles such as senior data scientists, quantitative researchers, or chief data officers can reach or exceed $1,000,000 annually, especially in finance, technology, or consulting firms. These positions typically require advanced statistical skills, extensive experience, and often involve leadership responsibilities or equity compensation.

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.

What does it mean to be Bayesian?

A Bayesian is a professional who applies Bayesian methods, which involve updating probabilities based on new data, often using statistical software and programming skills. They work in fields like data analysis, machine learning, or research, emphasizing probabilistic reasoning and statistical inference.

What jobs pay $500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs. These positions typically require advanced education, extensive experience, and often involve high levels of responsibility, performance-based bonuses, or profit sharing. In some cases, highly skilled professionals in technology, law, or finance can also achieve this level of compensation.
Infographic showing various Bayesian job openings in Florida as of July 2026, with employment types broken down into 77% Full Time, 21% Part Time, and 2% Contract. Highlights an 67% Physical, 2% Hybrid, and 31% Remote job distribution.

Senior Specialist, Systems Engineering (Statistician)

L3HHCM20

Jupiter, FL • On-site

$81K - $99K/yr

Other

Re-posted 12 days ago


Job description

Job Title: Senior Specialist, Systems Engineering (Statistician)

Job Code: 38776

Job Location: West Palm Beach, FL

Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off

Job Description:

The Statistician will apply statistical methods to a diverse product line and collaborates with other statisticians, engineers, and managers to provide statistics expertise for various engineering, operations, and business applications.  The role requires ingenuity and creativity to solve complex problems while meeting delivery commitments despite obstacles and constraints. The Statistician will exercise considerable latitude and sound business judgment in determining the necessary scope of statistical work and in defining technical objectives and solutions. They are expected to fully understand customer requirements and expectations, develop robust plans, and produce deliverables with first-time quality. Additionally, the Statistician will communicate analysis approaches and results to a non-statistical audience and present or support reviews such as design reviews, engineering review boards, and Flight Readiness Reviews.

Essential Functions:

Working under limited general supervision, the statistician is fully accountable for independently performing Statistics assignments requiring a broad understanding of statistical principles and a working knowledge of Engineering principles and rocket engine fundamentals.  Job responsibilities include:

  • Promote statistical thinking by proactively offering statistical leadership and solutions to cross-functional teams supporting production and development programs. Utilize appropriate statistical data analysis, predictive modeling, and simulation tools to assist technical decision-making and anomaly resolution, including Bayesian methods.  Provide sampling recommendations, develop experimental designs and conduct analyses to support engineering product development and process improvement activities.  Build a return customer base with repeat consultation through exceeding expectations. Provide statistical expertise in support of reliability and risk assessment activities and business decision analysis. Documents work in reports and presentations, and present results to large diverse audiences that may include customer and industry technical experts.
  • Identify and lead Six Sigma efforts across various sites. Support development and implementation of statistical quality control methods for application to operations.
  • Contribute to Discipline growth by improving procedures, best practices, training, introducing state-of-the-art methods.  Develop new applications of existing statistical tools and techniques to apply to key focus areas.
  • Ability to obtain a Secret U.S. security clearance

 

Qualifications:

  • Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience.

Preferred Additional Skills:

  • Master's degree in Statistics is preferred
  • B.S. in Engineering, Mathematics, or Statistics is preferred
  • Experience with statistical software packages such as Minitab, SAS, JMP, @Risk, R, Python, and/or others
  • Technical writing skills
  • Familiarity with machine learning, Artificial Intelligence, and Bayesian methods
  • ASQ Certified Six Sigma Green or Black Belt
  • ASQ Certified Reliability Engineer
  • ASQ Certified Quality Engineer

L3Harris announced on January 5th, that AE Industrial Partners ("AE Industrial") has agreed to acquire a controlling interest in L3Harris' Space Propulsion and Power Systems business. This position has been identified as one that will transition to the new standalone company upon closing of the transaction. Until that time, L3Harris will continue its hiring activity within this business.

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