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Bayesian Phd Jobs in Florida (NOW HIRING)

Social Scientist

Tampa, FL · On-site

$104K - $166K/yr

Years of Exp/Degree: 8 years with BS/BA, 6 years with MS/MA or 3 years with PhD * Advanced social science expertise - Regression, SEM, GLMs, Bayesian inference, qualitative methods, NLP. * Technical ...

New

Data Scientist

Tampa, FL · On-site

$104K - $166K/yr

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 ...

New

Applied Scientist- Pricing

Miami, FL · On-site

$156K - $335K/yr

Experience with one or more of the following: causal inference, Bayesian modeling, structural ... Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research ...

... PhD preferred. * 5-7 years of experience in the application of medical statistics (pharma, CRO ... Experience of Bayesian approaches to design and analysis of clinical data preferred. * Experience ...

Bayesian Phd information

What are some common challenges faced by a Bayesian PhD researcher during collaborative projects?

Bayesian PhD researchers often collaborate with interdisciplinary teams, which can present challenges such as communicating complex statistical concepts to non-specialists and integrating Bayesian methods with other analytical frameworks. Balancing the depth of theoretical work with practical problem-solving, managing computational demands, and aligning project goals with collaborators' expectations are also common hurdles. Successful collaboration typically requires strong communication skills, adaptability, and a willingness to bridge methodological gaps between disciplines.

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

To thrive as a Bayesian PhD, you need advanced knowledge of probability theory, statistical inference, and mathematics, typically supported by a doctoral degree in statistics, mathematics, or a related field. Proficiency with statistical programming languages like R, Python, and specialized Bayesian tools such as Stan or BUGS is essential. Strong critical thinking, problem-solving, and clear communication skills help in articulating complex analyses and collaborating across disciplines. These capabilities are crucial for developing rigorous models, conducting impactful research, and translating statistical insights into actionable solutions.

What is the difference between Bayesian Phd vs Data Scientist?

AspectBayesian PhdData Scientist
Required CredentialsPhD in Statistics, Mathematics, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch-focused, academic or specialized industry rolesBusiness-focused, tech companies, or consulting firms
Industry UsageAcademic research, advanced analytics, specialized modelingData analysis, machine learning, business insights
Common Search/ComparisonYesYes

While a Bayesian PhD specializes in advanced statistical modeling and research, a Data Scientist applies data analysis and machine learning techniques in practical business contexts. Both roles require strong analytical skills, but the Bayesian PhD typically focuses on theoretical development, whereas the Data Scientist emphasizes application and implementation.

What is a Bayesian PhD?

A Bayesian PhD typically refers to an individual who has completed a doctoral program with a focus on Bayesian statistics or Bayesian methods in their research. Bayesian statistics is a branch of statistics that uses probability distributions to represent uncertainty about unknowns, updating beliefs as new data becomes available. Students in this field learn to develop and apply Bayesian models to a wide range of problems in science, engineering, and social sciences. A PhD program with a Bayesian focus often involves advanced coursework in probability theory, statistical inference, and computational methods, as well as original research using Bayesian approaches.
What cities in Florida are hiring for Bayesian Phd jobs? Cities in Florida with the most Bayesian Phd job openings:
Social Scientist

Social Scientist

Peraton

Tampa, FL • On-site

$104K - $166K/yr

Full-time

Posted 14 hours ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

47th of 230 rated it services


Job description

Responsibilities
Role Identity & Mission
This senior Social Scientist provides strategic analytical leadership, methodological rigor, and subject matter expertise for global Operations in the Information Environment (OIE) and Psychological Operations (PSYOP). The role strengthens assessment accuracy by applying advanced social science methodologies, ensuring scientific validity, and translating complex operational objectives into measurable, evidence based analytical constructs that inform commander level decision making.
Core Responsibilities
  • Advanced social science methodology - Apply rigorous quantitative and qualitative methods to evaluate operational effectiveness and improve assessment fidelity.
  • Statistical & qualitative analysis - Conduct regression analysis, SEM, GLMs, Bayesian inference, and qualitative coding to analyze structured and unstructured assessment data.
  • Research design & validity - Ensure scientific validity and reliability of data collection efforts, aligning MOE/MOP frameworks with operational plans and campaign structures.
  • Operational objective translation - Work with planners to convert operational objectives into measurable constructs consistent with SMART criteria.
  • Data processing & tooling - Use Python, R, SQL, and NLP techniques to process, analyze, and interpret behavioral, narrative, and sentiment data.
  • Multisource data integration - Integrate social media analytics, publicly available information, intelligence inputs, surveys, and focus groups while accounting for confounding variables.
  • Trend & relationship analysis - Identify patterns, assess relationships, and contribute evidence based conclusions that support operational and strategic decision making.
  • Model development & refinement - Contribute to continuous improvement of analytical models, methodologies, and assessment frameworks.
  • Reporting & visualization - Prepare analytical reports and visualizations that clearly communicate findings to technical and nontechnical audiences.
  • Subject matter expertise - Provide methodological guidance to distributed assessment teams, ensuring consistency and accuracy across global efforts.
  • Behavioral & sentiment integration - Collaborate with social media analysts to incorporate behavioral indicators and sentiment trends into broader assessments.

Qualifications
Basic Qualifications:
  • TS/SCI active clearance
  • Years of Exp/Degree: 8 years with BS/BA, 6 years with MS/MA or 3 years with PhD
  • Advanced social science expertise - Regression, SEM, GLMs, Bayesian inference, qualitative methods, NLP.
  • Technical proficiency - Python, R, SQL, NLP tools, structured/unstructured data processing.
  • Assessment frameworks - MOE/MOP alignment, theories of change, SMART criteria.
  • Research design mastery - Validity, reliability, confounding variables, mixed methods approaches.
  • Communication excellence - Ability to translate complex analytical findings into clear, actionable insights.

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.

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About Peraton

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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