$91K - $120K/yr
Ability to develop digital models using virtualization tools (e.g., QEMU) and network them together ... Artificial intelligence (reasoning, probabilistic inference, machine learning In this position, as ...
$91K - $120K/yr
Ability to develop digital models using virtualization tools (e.g., QEMU) and network them together ... Artificial intelligence (reasoning, probabilistic inference, machine learning In this position, as ...
Artificial Intelligence (AI) Tutor
Lexington, KY · Remote
$40/hr
... probabilistic reasoning, and ethical AI considerations. Ability to explain supervised and ... Guides students through implementing classification and regression models, designing neural ...
Artificial Intelligence (AI) Tutor
Lexington, KY · Remote
$40/hr
... probabilistic reasoning, and ethical AI considerations. Ability to explain supervised and ... Guides students through implementing classification and regression models, designing neural ...
Artificial Intelligence (AI) Tutor
Louisville, KY · Remote
$40/hr
... probabilistic reasoning, and ethical AI considerations. Ability to explain supervised and ... Guides students through implementing classification and regression models, designing neural ...
Artificial Intelligence (AI) Tutor
Louisville, KY · Remote
$40/hr
... probabilistic reasoning, and ethical AI considerations. Ability to explain supervised and ... Guides students through implementing classification and regression models, designing neural ...
Conduct sensitivity analyses, scenario modeling, and probabilistic analyses (PSA) consistent with HTA standards. Statistical Programming & Data Infrastructure * Serve as the primary statistical ...
Conduct sensitivity analyses, scenario modeling, and probabilistic analyses (PSA) consistent with HTA standards. Statistical Programming & Data Infrastructure * Serve as the primary statistical ...
... models leverage meaningful scientific features rather than spurious correlations.* Assess the quality, completeness, and limitations of available data.* Apply statistical, probabilistic, and ...
... models leverage meaningful scientific features rather than spurious correlations.* Assess the quality, completeness, and limitations of available data.* Apply statistical, probabilistic, and ...
$93K - $123K/yr
Experience defining measurable acceptance criteria for probabilistic features such as model outputs, alerts, recommendations, or rankings. * Strong understanding of data pipelines, APIs, data quality ...
$93K - $123K/yr
Experience defining measurable acceptance criteria for probabilistic features such as model outputs, alerts, recommendations, or rankings. * Strong understanding of data pipelines, APIs, data quality ...
$150K - $200K/yr
Define and evolve Skechers' Consumer Data 360 architecture, including identity resolution (deterministic and probabilistic matching) and unified customer profiles. * Architect scalable data models ...
New
$150K - $200K/yr
Define and evolve Skechers' Consumer Data 360 architecture, including identity resolution (deterministic and probabilistic matching) and unified customer profiles. * Architect scalable data models ...
New
... models for lead prioritization, partner segmentation, location-based targeting, and behavior forecasting. Apply advanced techniques such as probabilistic matching, multi-touch attribution, and ...
... models for lead prioritization, partner segmentation, location-based targeting, and behavior forecasting. Apply advanced techniques such as probabilistic matching, multi-touch attribution, and ...
$188K - $230K/yr
Define and evolve attribution models suited to modern privacy environments (e.g., multi-touch, probabilistic, MMM). * Integrate data from ad platforms, MMPs, behavioral telemetry, and product systems ...
$188K - $230K/yr
Define and evolve attribution models suited to modern privacy environments (e.g., multi-touch, probabilistic, MMM). * Integrate data from ad platforms, MMPs, behavioral telemetry, and product systems ...
$87K - $123K/yr
BEV feature based, Vision-Language-Action Model) (Preferred: Perception/Localization Engineer) * Understanding of probabilistic filtering (e.g., Kalman Filter, Particle Filter) and nonlinear ...
$87K - $123K/yr
BEV feature based, Vision-Language-Action Model) (Preferred: Perception/Localization Engineer) * Understanding of probabilistic filtering (e.g., Kalman Filter, Particle Filter) and nonlinear ...
Ensure the platform remains model-agnostic and capable of taking advantage of rapid advances in ... Build systems that make probabilistic AI useful inside environments that require deterministic ...
Ensure the platform remains model-agnostic and capable of taking advantage of rapid advances in ... Build systems that make probabilistic AI useful inside environments that require deterministic ...
... probabilistic analysis, and technology prioritization. Bringing programs from initiation through ... Mass modeling and vehicle closure of aerospace vehicles and architectures * Trajectory design and ...
... probabilistic analysis, and technology prioritization. Bringing programs from initiation through ... Mass modeling and vehicle closure of aerospace vehicles and architectures * Trajectory design and ...
By bringing the expertise, technology, and business model of the 21st century's most innovative ... Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ...
By bringing the expertise, technology, and business model of the 21st century's most innovative ... Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ...
$90K - $119K/yr
By bringing the expertise, technology, and business model of the 21st century's most innovative ... Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ...
$90K - $119K/yr
By bringing the expertise, technology, and business model of the 21st century's most innovative ... Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ...
$123K - $168K/yr
Our current expertise spans IBR/EMT modeling and simulation, Synchrophasor/PMU analytics, ML/AI applications, and probabilistic/risk analysis. We're looking for another talent with a strong ...
$123K - $168K/yr
Our current expertise spans IBR/EMT modeling and simulation, Synchrophasor/PMU analytics, ML/AI applications, and probabilistic/risk analysis. We're looking for another talent with a strong ...
$200K - $300K/yr
Since then we've grown revenue 5x, built a new foundation model for human behavior that has run ... The job is to make probabilistic concepts like populations, uncertainty, and confidence ...
$200K - $300K/yr
Since then we've grown revenue 5x, built a new foundation model for human behavior that has run ... The job is to make probabilistic concepts like populations, uncertainty, and confidence ...
Including knowing when a deterministic workflow is the better answer than probabilistic and when to ... Prompt injection defense, PII handling, model drift and poisoning detection, output validation ...
Including knowing when a deterministic workflow is the better answer than probabilistic and when to ... Prompt injection defense, PII handling, model drift and poisoning detection, output validation ...
$150K - $277K/yr
A clear understanding of the basic elements of a Large Language Model as it exists today, why it ... probabilistic inference and deterministic software systems At Apple, base pay is one part of our ...
$150K - $277K/yr
A clear understanding of the basic elements of a Large Language Model as it exists today, why it ... probabilistic inference and deterministic software systems At Apple, base pay is one part of our ...
$220K - $292K/yr
... probabilistic reasoning systems that enable actionable insights from noisy, ambiguous, or incomplete sensor data. * Analyze system performance using high-fidelity simulations, innovative modeling ...
$220K - $292K/yr
... probabilistic reasoning systems that enable actionable insights from noisy, ambiguous, or incomplete sensor data. * Analyze system performance using high-fidelity simulations, innovative modeling ...
$77K - $105K/yr
... and probabilistic methods, and maintaining mapping infrastructure at scale. * Develop and run ... Experience with entity resolution, ontology design, or semantic data modeling across structured and ...
$77K - $105K/yr
... and probabilistic methods, and maintaining mapping infrastructure at scale. * Develop and run ... Experience with entity resolution, ontology design, or semantic data modeling across structured and ...
Probabilistic Modeling information
What is probabilistic modeling?
Probabilistic modeling is a mathematical framework used to represent uncertain events or data by using probability distributions. Instead of giving a single outcome, it accounts for variability and randomness, allowing predictions and inferences even when information is incomplete or ambiguous. Probabilistic models are widely used in fields like statistics, machine learning, finance, and engineering to analyze data, make forecasts, and support decision-making under uncertainty.
What are the key skills and qualifications needed to thrive as a probabilistic modeler, and why are they important?
To thrive as a Probabilistic Modeler, you need a strong background in mathematics, statistics, and probability theory, often supported by a degree in applied mathematics, statistics, or a related field. Proficiency with programming languages like Python or R, and experience with statistical modeling tools and software such as TensorFlow or PyMC, are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex models into actionable insights. These skills are vital for designing accurate models, interpreting uncertainty, and supporting data-driven decisions across various industries.
What are some common challenges faced by professionals in probabilistic modeling roles, and how can they be managed?
Professionals in probabilistic modeling often encounter challenges such as working with incomplete or noisy data, choosing the right model complexity, and ensuring model interpretability for stakeholders. Managing these challenges involves strong statistical knowledge, regular collaboration with domain experts, and effective communication to translate complex results for non-technical team members. Staying up-to-date with the latest tools and methodologies, and participating in peer reviews, can also help maintain model accuracy and reliability.
What is the difference between Probabilistic Modeling vs Data Scientist?
| Aspect | Probabilistic Modeling | Data Scientist |
|---|---|---|
| Required Credentials | Degree in statistics, mathematics, or related fields; knowledge of probability theory | Degree in computer science, statistics, or related fields; programming skills |
| Work Environment | Research-focused, often in analytics or data science teams | Cross-functional teams, including business, engineering, and analytics |
| Industry Usage | Used in analytics, finance, healthcare, and research for modeling uncertainty | Applied across industries for data analysis, predictive modeling, and decision-making |
Probabilistic Modeling focuses on developing models based on probability theory to understand uncertainty, while Data Scientists utilize a broader set of skills including programming, data analysis, and machine learning to extract insights from data. Both roles often overlap but serve different primary purposes within data-driven organizations.
What are popular job titles related to Probabilistic Modeling jobs in Kentucky?
For Probabilistic Modeling jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Probabilistic Modeling jobs in Kentucky look for?
The top searched job categories for Probabilistic Modeling jobs in Kentucky are:
What cities in Kentucky are hiring for Probabilistic Modeling jobs?
Cities in Kentucky with the most Probabilistic Modeling job openings:
Hardware Engineer
On-site
Peraton
• IT Services • 10K+ employees10,000+ employees
$91K - $120K/yr
Other
Posted 8 days ago
Peraton rating
8.3
Based on 56 frontline employees who took The Breakroom Quiz
Job description
- Minimum of 5 years of experience with BS/BA; 3 years with MS/MA; 0 years with PhD
- Bachelor’s Degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Physics, or related scientific/engineering discipline
- US Citizenship
- Active Secret Clearance with ability to obtain TS/SCI
- Ability to develop rapid prototype solutions using a combination of COTS and custom designs
- Ability to develop PCB-based designs and implement FPGA and embedded software to support HWIL and surrogate designs
- Ability to integrate processor/microcontroller debuggers to extract binary data and integrate in circuit probing solutions to characterize dynamic program execution
- Experience extending and customizing existing emulation frameworks (e.g., QEMU) in C/C++ and Python to support new targets, peripherals, and capabilities
- Ability to develop emulator tooling and virtual device models to support reverse engineering and analysis of embedded systems across diverse architectures (e.g., ARM, PPC)
- Ability to develop digital models using virtualization tools (e.g., QEMU) and network them together to create integrated, end-to-end system simulations that closely approximate real hardware behavior
PeratonLabsdelivers innovative solutions and revolutionary new capabilities to solve the most difficult and complex challenges for government agencies, utilities, and commercial customers. With a distinguished heritage tracing back to Bell Labs,Bellcore, and Telcordia, our experts pave the way.Peraton Labs' cybersecurity research protects mission-critical systems and national cyber infrastructure through a broad range of initiatives in computer network defense, secure‑by‑design techniques and cyber operations and experimentation platforms.
Our projects span several areas of interest. Our core competencies include (but are not limited to):
- Program analysis, including program understanding, vulnerability identification, and remediation
- Malware analysis and reverse engineering
- Resilient networking in support of cyber mission goals
- Software‑defined networking for cyber defense and deception
- Artificial intelligence (reasoning, probabilistic inference, machine learning
In this position, as a Hardware Engineer, you will work as part of a small, focused team to architect, develop, implement, and test modular software applications and tools for emulating cyber-physical systems. Additionally you will:
- Work in a laboratory environment utilizing test equipment (oscilloscopes, spectrum analyzers, VNAs etc.) to characterize and debug complex electronic systems
- Prepare and execute test events for customers and internal and external stakeholders
- Lead efforts to develop lab‑based acquisition and control platforms to aid in test and characterization of hardware systems
- Serve as the hardware team representative on interdisciplinary efforts to contribute knowledge of system architecture and focused processor implementations
- Participate in proposal efforts by providing input on technical path and BOM/cost and schedule estimates
- Rehost unknown or sparsely documented firmware by analyzing binaries, identifying hardware dependencies, and adapting these to run correctly in emulated environments
- Ensure model quality and correctness through unit‑level and system‑level testing, and by validating behavior against first principles, measured data, documentation, and hardware/software artifacts
- Communicate technical foundations of models and algorithms through reports and briefings
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