... high-fidelity modeling, simulation of complex signatures and propagation phenomenology, deep ... Estimation techniques including Bayesian and non-Bayesian estimators, performance measures such as ...
... high-fidelity modeling, simulation of complex signatures and propagation phenomenology, deep ... Estimation techniques including Bayesian and non-Bayesian estimators, performance measures such as ...
Apply Bayesian approaches and small area estimation techniques to address sub-national and hard-to ... linear models to modern machine learning techniques. Who We Want * Technically skilled and ...
Apply Bayesian approaches and small area estimation techniques to address sub-national and hard-to ... linear models to modern machine learning techniques. Who We Want * Technically skilled and ...
... Bayesian methods, derivatives, and Monte Carlo methods/modeling. * Experience in regulated financial services institutions preferred. Keys to Success in this Role: * Deep intellectual curiosity to ...
... Bayesian methods, derivatives, and Monte Carlo methods/modeling. * Experience in regulated financial services institutions preferred. Keys to Success in this Role: * Deep intellectual curiosity to ...
Experience in current large language models (LLM) for representative and generative tasks ... Bayesian analysis, and covariance matrices. Proficiency in agentic systems that can automatically ...
Experience in current large language models (LLM) for representative and generative tasks ... Bayesian analysis, and covariance matrices. Proficiency in agentic systems that can automatically ...
AI Engineer
MD · On-site
$80K - $160K/yr
Develop algorithms such as Bayesian, coordinate descent, gradient descent, and evolutionary * Utilizes big data computation and storage models to create prototypes and data sets * Develop ...
AI Engineer
MD · On-site
$80K - $160K/yr
Develop algorithms such as Bayesian, coordinate descent, gradient descent, and evolutionary * Utilizes big data computation and storage models to create prototypes and data sets * Develop ...
Demonstrate experience with statistical modeling, inference, or experimental design approaches such as Bayesian methods, regression, causal inference, or hypothesis testing... * Are able to obtain ...
Demonstrate experience with statistical modeling, inference, or experimental design approaches such as Bayesian methods, regression, causal inference, or hypothesis testing... * Are able to obtain ...
Demonstrate experience with statistical modeling, inference, or experimental design approaches such as Bayesian methods, regression, causal inference, or hypothesis testing... * Are able to obtain ...
Demonstrate experience with statistical modeling, inference, or experimental design approaches such as Bayesian methods, regression, causal inference, or hypothesis testing... * Are able to obtain ...
Technical SETA for Biostatistics, Clinical Trials with Security Clearance
Washington, DC · On-site
$140K - $180K/yr
Required Experience: 1. Working knowledge of biostatistics and statistical modeling. Comfort with Bayesian, frequentist, and empirical methods. 2. Experience supporting new drug clinical trials of ...
Technical SETA for Biostatistics, Clinical Trials with Security Clearance
Washington, DC · On-site
$140K - $180K/yr
Required Experience: 1. Working knowledge of biostatistics and statistical modeling. Comfort with Bayesian, frequentist, and empirical methods. 2. Experience supporting new drug clinical trials of ...
Principal AI Software Engineer TS/SCI w/Poly
Fort George G Meade, MD · On-site
$200 - $255/hr
Experience with large language models (LLM) for representative and generative tasks. * Proficiency ... non‑parametric probability distributions, Bayesian analysis, and covariance matrices.
Principal AI Software Engineer TS/SCI w/Poly
Fort George G Meade, MD · On-site
$200 - $255/hr
Experience with large language models (LLM) for representative and generative tasks. * Proficiency ... non‑parametric probability distributions, Bayesian analysis, and covariance matrices.
Senior Data Scientist supports NSG strategies through the creation of automated collection models ... Design, integrate, and maintain Bayesian Belief Network (BBN) processes that utilize automation ...
Senior Data Scientist supports NSG strategies through the creation of automated collection models ... Design, integrate, and maintain Bayesian Belief Network (BBN) processes that utilize automation ...
Conduct extensive collections and analytic modeling, data processing, and data mining. Conduct gap ... Design, integrate, and maintain Bayesian Belief Network (BBN) processes that utilize automation ...
Conduct extensive collections and analytic modeling, data processing, and data mining. Conduct gap ... Design, integrate, and maintain Bayesian Belief Network (BBN) processes that utilize automation ...
... biology with modeling and analysis of cellular dynamics (e.g. clustered cell migration ... Bayesian statistics; resampling techniques; digital twins; uncertainty quantification; statistical ...
... biology with modeling and analysis of cellular dynamics (e.g. clustered cell migration ... Bayesian statistics; resampling techniques; digital twins; uncertainty quantification; statistical ...
Build and refine supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble approaches. * Review, maintain, and support all existing loan fraud indicators developed ...
Build and refine supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble approaches. * Review, maintain, and support all existing loan fraud indicators developed ...
Build and refine both supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble approaches, and tune candidate models to determine best fit. * Perform data quality ...
Build and refine both supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble approaches, and tune candidate models to determine best fit. * Perform data quality ...
Build and refine supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble approaches. * Review, maintain, and support all existing loan fraud indicators developed ...
Build and refine supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble approaches. * Review, maintain, and support all existing loan fraud indicators developed ...
Senior Data Scientist -- Fraud Analytics
Mclean, VA · On-site +1
Develop and test predictive models using regression, Bayesian, clustering, and ensemble methods; tune models for best fit * Collaborate with criminal investigators to shape analytic strategy, adapt ...
Quick apply
Senior Data Scientist -- Fraud Analytics
Mclean, VA · On-site +1
Develop and test predictive models using regression, Bayesian, clustering, and ensemble methods; tune models for best fit * Collaborate with criminal investigators to shape analytic strategy, adapt ...
Build and refine both supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble approaches, and tune candidate models to determine best fit. * Perform data quality ...
Quick apply
Build and refine both supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble approaches, and tune candidate models to determine best fit. * Perform data quality ...
Build and refine supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble approaches. * Review, maintain, and support all existing loan fraud indicators developed ...
Quick apply
Build and refine supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble approaches. * Review, maintain, and support all existing loan fraud indicators developed ...
Build and refine both supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble approaches, and tune candidate models to determine best fit. * Perform data quality ...
Build and refine both supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble approaches, and tune candidate models to determine best fit. * Perform data quality ...
Technical SETA (Biostatistics)
Washington, DC · Remote
$146K - $189K/yr
Application of knowledge of biostatistics and statistical modeling. Comfort with Bayesian, frequentist, and empirical methodologies required. * Provides support to new drug clinical trials in all ...
Technical SETA (Biostatistics)
Washington, DC · Remote
$146K - $189K/yr
Application of knowledge of biostatistics and statistical modeling. Comfort with Bayesian, frequentist, and empirical methodologies required. * Provides support to new drug clinical trials in all ...
Bayesian Modeling information
See Washington, DC salary details
$11.71 - $19.21
4% of jobs
$19.21 - $26.71
1% of jobs
$26.71 - $34.21
2% of jobs
$34.21 - $41.71
0% of jobs
$41.71 - $49.20
3% of jobs
$49.20 - $56.70
8% of jobs
$59.40 is the 25th percentile. Wages below this are outliers.
$56.70 - $64.20
17% of jobs
The median wage is $68.61 / hr.
$64.20 - $71.70
24% of jobs
$76.56 is the 75th percentile. Wages above this are outliers.
$71.70 - $79.20
23% of jobs
$79.20 - $86.70
12% of jobs
$86.70 - $94.20
5% of jobs
$11
$66
$94
How much do bayesian modeling jobs pay per hour?
What is the difference between Bayesian Modeling vs Data Scientist?
| Aspect | Bayesian Modeling | Data Scientist |
|---|---|---|
| Required Credentials | Statistics, Mathematics, Data Analysis | Statistics, Computer Science, Data Analysis |
| Work Environment | Research-focused, statistical modeling | Cross-functional, data analysis, visualization |
| Industry Usage | Research, academia, specialized analytics | Business, tech, finance, healthcare |
| Common Search/Comparison | Yes | Yes |
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?
How does a Bayesian modeling specialist typically collaborate with cross-functional teams in a workplace setting?
What is Bayesian modeling?
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Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 19 days ago
RTX rating
8.2
Based on 86 frontline employees who took The Breakroom Quiz
37th of 71 rated aerospace companies
Job description
Date Posted:
2026-06-17Country:
United States of AmericaLocation:
US-VA-ARLINGTON-111 ~ 1300 17Th St N ~ BBN ARLINGTONPosition Role Type:
OnsiteU.S. Citizen, U.S. Person, or Immigration Status Requirements:
Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearanceSecurity Clearance Type:
DoD Clearance: Top SecretSecurity Clearance Status:
Active and existing security clearance required on day 1RTX BBN solves challenging problems of high importance to our customers in the Department of Defense, the Intelligence Community and Industry by rapidly prototyping systems for sensing complex physical phenomena, correlating them to events of interest, and producing high-value, actionable information from the sensed data. The team specializes in delivering networked sensor system solutions by combining a strong understanding of the underlying physics, high-fidelity modeling, simulation of complex signatures and propagation phenomenology, deep expertise in signal processing, EM and RF phenomenology, and computer science, proven capabilities in system development, and mature tools to enable rapid design cycles from theory to demonstration. We are currently searching for a highly qualified Signal Processing Research Scientist to join our team in Arlington, VA.
Role Overview:
RTX BBN solves challenging problems of high importance to our customers in the Department of Defense, the Intelligence Community and Industry by rapidly prototyping systems for sensing complex physical phenomena, correlating them to events of interest, and producing high-value, actionable information from the sensed data. The team specializes in delivering networked sensor system solutions by combining a strong understanding of the underlying physics, high-fidelity modeling, simulation of complex signatures and propagation phenomenology, deep expertise in signal processing, EM and RF phenomenology, and computer science, proven capabilities in system development, and mature tools to enable rapid design cycles from theory to demonstration. We are currently searching for a highly qualified Signal Processing Research Scientist to join our team in Arlington, VA.
What You Will Do:
Statistical signal processing:
- Estimation techniques including Bayesian and non-Bayesian estimators, performance measures such as bias and mean-square error and bounds on estimator performance such as the Cramer-Rao lower bound.
- Detection techniques including the Neyman-Pearson detection, probabilities of detection and false alarm, receiver operating curves, etc.
Cyclostationary signal processing:
- CAF, SCF, SOF estimation.
- Computation of Cyclic Cumulants.
- Cyclic Feature Detection.
Adaptive signal processing:
- Temporal and space-time adaptive processing.
- Interference covariance estimation techniques including both structured and reduced-rank techniques.
- Wiener filtering and on-line adaptive techniques such as LMS and RLS.
- Kalman filtering, particle filtering, and multi-hypothesis tracking.
- Machine learning and optimization for optimal control.
RF propagation and signature modeling:
- Link budgets, terrestrial and free-space propagation models, multipath, non-stationary propagation environments (Doppler spread), clock stability and phase noise, and target kinematics.
- Antenna pattern estimation.
- Estimation of bistatic RCS.
Sensing:
- Sparse array processing, beamforming, direction finding, filtering and tracking.
- Range-Doppler radar and synthetic aperture radar (SAR).
- Signal classification and recognition.
Physical-layer communications:
- Modulation techniques and tradeoffs, channel estimation and tracking, MIMO communications, equalization, forward error correction and decoding.
- LPX waveform design.
- Multi-user detection.
Qualifications You Must Have:
- M.S. in Electrical Engineering, Mathematics, or Physics plus 5+ years of relevant experience, or Ph.D. plus 3+ years experience.
- Experience with signal processing, including estimation, detection, etc.
- Experience with RF modeling and sensing.
- Active Top Secret government security clearance
Qualifications We Prefer:
- Position may require some overnight travel.
- Experience applying advanced methods, theories, and R&D techniques to solve difficult problems.
- Skillset to tackle research challenges proactively with minimal supervision and periodic check-ins with team leads.
- Experience leading small teams of technical contributors.
- Experience documenting plans and scientific findings with opportunities to present to government customers.
Learn More & Apply Now!
Work Location: Onsite - Alrington, VA
Please consider the following role type definition as you apply for this role:
Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 118,300 USD - 224,900 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.
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About RTX
Sourced by ZipRecruiter
Industry
Engineering professional services
Company size
10,000+ Employees
Headquarters location
Arlington, VA, US
Year founded
2020