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Bayesian Jobs in Florida (NOW HIRING)

Opendoor

Applied Scientist- Pricing

Miami, FL · On-site

$156K - $335K/yr

Experience with one or more of the following: causal inference, Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical optimization * Comfort working with messy ...

MMS

Study Design Statistician (US)

Miami, FL · On-site

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.

kgs

Data Scientist

Cape Canaveral, FL

Bayesian statistics * Knowledge of: * Data engineering principles * MLOps practices * Distributed computing * High-performance computing * Image processing * Familiarity with: * Federal data ...

kgs

Data Scientist

Cape Canaveral, FL

Bayesian statistics * Knowledge of: * Data engineering principles * MLOps practices * Distributed computing * High-performance computing * Image processing * Familiarity with: * Federal data ...

University of Miami

Asst. Scientist

Miami, FL · On-site

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

Amerilife Group, LLC

Data Scientist

Clearwater, FL · On-site

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

The University of Miami

Asst. Scientist

Miami, FL · On-site

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

AmeriLife Group, LLC

Data Scientist

Clearwater, FL · On-site

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

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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.
What are popular job titles related to Bayesian jobs in Florida? For Bayesian jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Bayesian jobs in Florida look for? The top searched job categories for Bayesian jobs in Florida are:
Bayesian jobs near you
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.
Applied Scientist- Pricing

Applied Scientist- Pricing

Opendoor

Miami, FL • On-site

$156K - $335K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

About Opendoor
At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We've built an end-to-end online experience that has already helped thousands of people and we're just getting started.
About the Role
We're looking for an Applied Scientist to work on some of the hardest quantitative problems at Opendoor. This role will focus primarily on structural modeling, econometrics, optimization, and decision-making under uncertainty, with applications spanning pricing, resale strategy, demand modeling, and risk management.
This role will contribute to our broader valuation and pricing ecosystem and we're looking for someone who can combine strong modeling intuition with hands-on execution and strong engineering to build practical solutions for a low-margin, high-stakes business where small improvements can have an outsized impact.
You'll work on problems like modeling post-listing demand, estimating price elasticity, designing experiments, building structural models, and developing optimizers that help us make better decisions across our products and inventory.
We're a small, nimble team, so there's ample opportunity to shape both the modeling direction and how these systems get used in production decision-making.
What You'll Need
  • Experience developing quantitative models to support real-world decision-making under uncertainty
  • Strong coding skills in Python, with the ability to move beyond prototyping and implement production-quality scientific code
  • Experience with one or more of the following: causal inference, Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical optimization
  • Comfort working with messy, high-dimensional real-world data and translating ambiguous business problems into rigorous modeling approaches
  • Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline
  • Strong communication and collaboration skills - you're comfortable working with cross-functional stakeholders and can communicate technical ideas clearly

Nice to Have
  • Experience in pricing, marketplace modeling, revenue management, supply/demand systems, inventory optimization, or risk modeling
  • Background in real estate, housing, finance, or adjacent marketplace domains
  • Familiarity with distributed data processing tools such as Pyspark
  • Experience with machine learning methods broadly, including where deep learning can complement structured statistical modeling
  • Experience working with large language models (LLMs) or vision-language models (VLMs)

What You'll Do
  • Build models that help Opendoor make better decisions around pricing, resale strategy, and portfolio risk
  • Develop demand and conversion models using both pre-listing and post-listing signals
  • Design and improve optimization frameworks that balance objectives like margin, conversion, and risk
  • Apply statistical, econometric, and mathematical modeling techniques to problems where structure matters and pure black-box prediction is not enough
  • Design experiments and measurement approaches to quantify price elasticity, customer response, and product trade-offs
  • Partner with Engineering, Product, and Operations to turn models into systems that influence real decisions
  • Bring a pragmatic, hands-on approach: move quickly from idea to prototype to production-ready scientific component

Compensation
The base pay range for this position is $156,800-$335,000 annually, plus RSUs. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.
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