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Bayesian Modeling Jobs in Florida (NOW HIRING)

Peraton

Data Scientist

Tampa, FL · On-site

$104K - $166K/yr

Advanced quantitative modeling - Direct application of regression analysis, Structural Equation Modeling, timeseries analysis, Bayesian methods, and causal inference to link operations with observed ...

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 ...

Peraton

Social Scientist

Tampa, FL · On-site

$104K - $166K/yr

Model development & refinement - Contribute to continuous improvement of analytical models ... Advanced social science expertise - Regression, SEM, GLMs, Bayesian inference, qualitative methods ...

INSPYR Solutions

Data Analyst

Orlando, FL · On-site

$70 - $73/hr

... discontinuity, uplift modeling) * Practical understanding of experimental design concepts ... Familiarity with Bayesian statistics and sequential/always-valid testing methods. * Experience with ...

kgs

Data Scientist

Cape Canaveral, FL

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

Varsity Tutors

Statistics Graduate Level Tutor

Miami, FL · Remote

$18 - $40/hr

... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...

kgs

Data Scientist

Cape Canaveral, FL

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

Varsity Tutors

Statistics Graduate Level Tutor

Tampa, FL · Remote

$18 - $40/hr

... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...

Varsity Tutors

Statistics Graduate Level Tutor

Doral, FL · Remote

$18 - $40/hr

... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...

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Bayesian Modeling information

What is the difference between Bayesian Modeling vs Data Scientist?

AspectBayesian ModelingData Scientist
Required CredentialsStatistics, Mathematics, Data AnalysisStatistics, Computer Science, Data Analysis
Work EnvironmentResearch-focused, statistical modelingCross-functional, data analysis, visualization
Industry UsageResearch, academia, specialized analyticsBusiness, tech, finance, healthcare
Common Search/ComparisonYesYes

Bayesian Modeling and Data Scientists often overlap in skills like statistics and data analysis. Bayesian Modeling specializes in probabilistic models and statistical inference, while Data Scientists have broader roles including data cleaning, visualization, and machine learning. Both roles are essential in data-driven industries, but Bayesian Modeling is more focused on advanced statistical techniques.

What are the key skills and qualifications needed to thrive as a Bayesian Modeler, and why are they important?

To thrive as a Bayesian Modeler, you need a solid background in statistics, probability theory, and mathematical modeling, often supported by an advanced degree in statistics, mathematics, or a related field. Proficiency with programming languages such as R, Python, or Stan, and experience with statistical software and Bayesian inference tools are essential. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting results and collaborating with multidisciplinary teams. These skills ensure accurate model development, reliable data-driven insights, and clear communication of complex findings to stakeholders.

How does a Bayesian Modeling specialist typically collaborate with cross-functional teams in a workplace setting?

Bayesian Modeling specialists often work closely with data scientists, software engineers, and domain experts to integrate probabilistic models into larger analytical or production systems. They are involved in translating complex statistical concepts into actionable insights and recommendations tailored to business needs. Effective communication is key, as they must present findings to both technical and non-technical stakeholders, ensuring that model assumptions and results are clearly understood. Collaboration may also include contributing to code reviews, sharing best practices for model validation, and mentoring colleagues on Bayesian methodologies.

What is Bayesian modeling?

Bayesian modeling is a statistical approach that uses Bayes' Theorem to update the probability of a hypothesis as more data becomes available. It incorporates prior beliefs or knowledge, combines them with observed data, and produces a posterior probability distribution to guide inference and decision-making. This approach is widely used in various fields such as machine learning, data science, and scientific research for tasks like parameter estimation, prediction, and model selection.
What are popular job titles related to Bayesian Modeling jobs in Florida? For Bayesian Modeling jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Bayesian Modeling jobs in Florida look for? The top searched job categories for Bayesian Modeling jobs in Florida are:
Bayesian Modeling jobs near you

Data Scientist

Peraton

Tampa, FL • On-site

$104K - $166K/yr

Full-time

Posted 8 days ago

Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

46th of 220 rated it services

Job description

Responsibilities
This position is contingent on award of contract.
Role Identity & Mission
This senior level Data Scientist provides strategic leadership, advanced analytical expertise, and technical direction for global Operations in the Information Environment (OIE) and Psychological Operations (PSYOP). The role drives the design, execution, and refinement of analytical frameworks that leverage statistical modeling, machine learning, and artificial intelligence to evaluate operational effectiveness and inform commander level decision making.
Core Responsibilities
  • Analytical framework design - Lead creation of statistical, ML, and AI enabled frameworks that measure operational impact and support decision superiority.
  • Advanced quantitative modeling - Direct application of regression analysis, Structural Equation Modeling, timeseries analysis, Bayesian methods, and causal inference to link operations with observed effects.
  • Multisource data integration - Oversee fusion of structured and unstructured data from OSINT, social media analytics, surveys, intelligence inputs, and operational datasets within scalable cloud environments.
  • Natural Language Processing - Direct implementation of NLP techniques including sentiment analysis, topic modeling, and entity recognition to assess behavioral indicators and narrative trends.
  • Assessment plan development - Lead development of assessment plans aligned with commander intent, incorporating baseline data, theories of change, and SMART (Specific, Measurable, Achievable, Relevant, Time Bound) objectives.
  • Database architecture & APIs - Direct SQL based database design and API integrations supporting unified data environments, tagging structures, and LOE/LOP alignment.
  • Predictive modeling - Produce predictive models that forecast behavioral outcomes, operational effects, and environmental shifts.
  • Operational reporting - Deliver quarterly assessments, monthly baselines, and comprehensive analytical reports supporting multiple combatant commands.
  • Leadership & mentorship - Provide senior level guidance to analysts, data engineers, and assessment teams to elevate analytical rigor and mission impact.

Qualifications
  • Clearance: TS/SCI active .
  • Years of Exp/Degree: 8 years with BS/BA, 6 years with MS/MA or 3 years with PhD.
  • Advanced statistical & ML expertise - Regression, SEM, Bayesian modeling, causal inference, NLP, predictive analytics.
  • Programming & data engineering - SQL, Python, R, API development, cloud based analytical platforms.
  • Operational assessment knowledge - IO/PSYOP frameworks, theories of change, MOE/MOP alignment.
  • Data architecture leadership - Unified data environments, tagging structures, LOE/LOP taxonomy.
  • Communication & reporting - Ability to translate complex analytics into actionable insights for senior leaders and operators.

Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range
$104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

What Peraton employees say

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017

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