Design and implement advanced Monte Carlo simulation frameworks to solve complex probabilistic ... Own the full lifecycle of AI development--from algorithmic design and data modeling to deployment ...
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Design and implement advanced Monte Carlo simulation frameworks to solve complex probabilistic ... Own the full lifecycle of AI development--from algorithmic design and data modeling to deployment ...
... probabilistic safety analysis (PSA), and licensing roadmap progress. This role will work with ... Support safety analysis with data, modeling, reviews, and documentation * Monitor regulatory ...
... probabilistic safety analysis (PSA), and licensing roadmap progress. This role will work with ... Support safety analysis with data, modeling, reviews, and documentation * Monitor regulatory ...
... probabilistic outputs, confidence-based validation, hallucination detection, and model evaluation). This role will architect scalable automation frameworks, drive engineering excellence, and ...
... probabilistic outputs, confidence-based validation, hallucination detection, and model evaluation). This role will architect scalable automation frameworks, drive engineering excellence, and ...
... probabilistic outputs, confidence-based validation, hallucination detection, and model evaluation). This role will architect scalable automation frameworks, drive engineering excellence, and ...
... probabilistic outputs, confidence-based validation, hallucination detection, and model evaluation). This role will architect scalable automation frameworks, drive engineering excellence, and ...
Lead Software Test Automation Engineer | Test Architect - Agentic AI
Coppell, TX · On-site
$89K - $157K/yr
... probabilistic outputs, confidence-based validation, hallucination detection, and model evaluation). This role will architect scalable automation frameworks, drive engineering excellence, and ...
Lead Software Test Automation Engineer | Test Architect - Agentic AI
Coppell, TX · On-site
$89K - $157K/yr
... probabilistic outputs, confidence-based validation, hallucination detection, and model evaluation). This role will architect scalable automation frameworks, drive engineering excellence, and ...
... probabilistic outputs, confidence-based validation, hallucination detection, and model evaluation). This role will architect scalable automation frameworks, drive engineering excellence, and ...
... probabilistic outputs, confidence-based validation, hallucination detection, and model evaluation). This role will architect scalable automation frameworks, drive engineering excellence, and ...
... probabilistic outputs, confidence-based validation, hallucination detection, and model evaluation). This role will architect scalable automation frameworks, drive engineering excellence, and ...
... probabilistic outputs, confidence-based validation, hallucination detection, and model evaluation). This role will architect scalable automation frameworks, drive engineering excellence, and ...
... probabilistic outputs, confidence-based validation, hallucination detection, and model evaluation). This role will architect scalable automation frameworks, drive engineering excellence, and ...
... probabilistic outputs, confidence-based validation, hallucination detection, and model evaluation). This role will architect scalable automation frameworks, drive engineering excellence, and ...
Lead Software Test Automation Engineer | Test Architect - Agentic AI
Coppell, TX · On-site
$89K - $157K/yr
... probabilistic outputs, confidence-based validation, hallucination detection, and model evaluation). This role will architect scalable automation frameworks, drive engineering excellence, and ...
Lead Software Test Automation Engineer | Test Architect - Agentic AI
Coppell, TX · On-site
$89K - $157K/yr
... probabilistic outputs, confidence-based validation, hallucination detection, and model evaluation). This role will architect scalable automation frameworks, drive engineering excellence, and ...
Conduct spreadsheet analysis, including data collection, modeling, and reporting * Research, track ... Strong analytical skills with exposure to probabilistic safety analysis or quantitative risk ...
Conduct spreadsheet analysis, including data collection, modeling, and reporting * Research, track ... Strong analytical skills with exposure to probabilistic safety analysis or quantitative risk ...
Licensing Associate
Austin, TX · On-site
Conduct spreadsheet analysis, including data collection, modeling, and reporting * Research, track ... Strong analytical skills with exposure to probabilistic safety analysis or quantitative risk ...
Licensing Associate
Austin, TX · On-site
Conduct spreadsheet analysis, including data collection, modeling, and reporting * Research, track ... Strong analytical skills with exposure to probabilistic safety analysis or quantitative risk ...
Conduct spreadsheet analysis, including data collection, modeling, and reporting * Research, track ... Strong analytical skills with exposure to probabilistic safety analysis or quantitative risk ...
Quick apply
Conduct spreadsheet analysis, including data collection, modeling, and reporting * Research, track ... Strong analytical skills with exposure to probabilistic safety analysis or quantitative risk ...
Lead Research Engineer
Frisco, TX · On-site +1
$95K - $126K/yr
Familiarity with probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods * Demonstrated ability to mentor engineers, elevate team technical ...
Lead Research Engineer
Frisco, TX · On-site +1
$95K - $126K/yr
Familiarity with probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods * Demonstrated ability to mentor engineers, elevate team technical ...
... probabilistic cost and schedule risk analysis, robust understanding of EPC execution, and the ... The position is based in Downtown Houston with a hybrid work model of 3 days in the office and 2 ...
... probabilistic cost and schedule risk analysis, robust understanding of EPC execution, and the ... The position is based in Downtown Houston with a hybrid work model of 3 days in the office and 2 ...
AI Architect (Pod Lead)
Austin, TX · On-site
$54.75 - $75/hr
Demonstrable judgment on deterministic versus probabilistic system design -- you can point to systems where you deliberately kept the model out of the critical path. * RAG and code/knowledge-graph ...
New
AI Architect (Pod Lead)
Austin, TX · On-site
$54.75 - $75/hr
Demonstrable judgment on deterministic versus probabilistic system design -- you can point to systems where you deliberately kept the model out of the critical path. * RAG and code/knowledge-graph ...
New
Senior Software Engineer, Operation Platforms
Houston, TX · On-site
$116K - $154K/yr
... model), keeping the deterministic core reliable, traceable, and auditable while enabling probabilistic, agent-assisted automation on top. • Build real-time operator tooling and role-based views for ...
Senior Software Engineer, Operation Platforms
Houston, TX · On-site
$116K - $154K/yr
... model), keeping the deterministic core reliable, traceable, and auditable while enabling probabilistic, agent-assisted automation on top. • Build real-time operator tooling and role-based views for ...
Develop automation strategies for probabilistic outputs, using model-based evaluation to "test the tester." * Building "Eval" Pipelines: Create and maintain "Golden Datasets" to benchmark agent ...
Develop automation strategies for probabilistic outputs, using model-based evaluation to "test the tester." * Building "Eval" Pipelines: Create and maintain "Golden Datasets" to benchmark agent ...
Integrate subsurface, drilling, and facilities data into field-wide production models * Ensure consistency and quality control across asset forecasts * Support uncertainty analysis and probabilistic ...
Integrate subsurface, drilling, and facilities data into field-wide production models * Ensure consistency and quality control across asset forecasts * Support uncertainty analysis and probabilistic ...
Develop automation strategies for probabilistic outputs, using model-based evaluation to "test the tester." * Building "Eval" Pipelines: Create and maintain "Golden Datasets" to benchmark agent ...
Develop automation strategies for probabilistic outputs, using model-based evaluation to "test the tester." * Building "Eval" Pipelines: Create and maintain "Golden Datasets" to benchmark agent ...
Artificial Intelligence (AI) Tutor
San Marcos, TX · Remote
$18 - $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
San Marcos, TX · Remote
$18 - $40/hr
... probabilistic reasoning, and ethical AI considerations. Ability to explain supervised and ... Guides students through implementing classification and regression models, designing neural ...
Probabilistic Modeling information
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 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.
Which 3 jobs will survive AI?
Probabilistic modeling is a specialized field within data science and machine learning. Jobs that require advanced analytical skills, such as data scientists, machine learning engineers, and quantitative analysts, are likely to persist as they involve complex problem-solving and domain expertise that AI tools complement rather than replace. Continuous learning and proficiency with statistical tools and programming languages like Python or R are essential for these roles.
What is probabilistic modelling?
Probabilistic modeling is a technique used in probabilistic modeling roles to represent uncertainty and variability in data through mathematical models that incorporate probability distributions. It involves designing models that can predict outcomes and infer hidden variables, often using tools like Bayesian inference and statistical analysis. These skills are essential for data scientists and statisticians working with complex, uncertain data environments.
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 professions make 500,000 a year?
In probabilistic modeling, senior roles such as quantitative researchers, data science directors, and machine learning engineers at large tech firms or financial institutions can earn $500,000 or more annually. These positions typically require advanced degrees, extensive experience, and expertise in statistical methods, programming, and data analysis tools. Compensation often includes base salary, bonuses, and stock options, especially in high-growth or competitive industries.
What professions make 200,000 a year without a degree?
Professions related to probabilistic modeling, such as data scientists, machine learning engineers, and quantitative analysts, can reach or exceed $200,000 annually often through experience, specialized skills, and industry demand. These roles typically require strong programming, statistical, and analytical skills, and some may be self-taught or gained through certifications rather than formal degrees.
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 are popular job titles related to Probabilistic Modeling jobs in Texas? For Probabilistic Modeling jobs in Texas, the most frequently searched job titles are:
- Manager Scientific Database Curator
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What job categories do people searching Probabilistic Modeling jobs in Texas look for? The top searched job categories for Probabilistic Modeling jobs in Texas are:
What cities in Texas are hiring for Probabilistic Modeling jobs? Cities in Texas with the most Probabilistic Modeling job openings:
Contractor
Posted 22 days ago
Job description
Role: AI System Analyst (AI Monte Carlo)
Client address: Houston, TX (Hybrid)
Client address: Houston, TX (Hybrid)
Contract
Experience Required: 10-12 years
Mandatory skills:
- AI Monte Carlo
- Python
Key Responsibilities:
- Solution Architecture: Design and implement advanced Monte Carlo simulation frameworks to solve complex probabilistic problems (e.g., risk assessment, optimization, or predictive forecasting).
- Client Engagement: Lead discovery sessions with clients to extract and define technical requirements from high-level business goals.
- Cross-Functional Collaboration: Serve as the primary technical liaison between functional business units and core engineering teams to ensure alignment on deliverables.
- End-to-End Delivery: Own the full lifecycle of AI development—from algorithmic design and data modeling to deployment and performance tuning.
- Mentorship & Leadership: Provide technical guidance to junior/mid-level developers while maintaining the self-sufficiency to handle critical individual contributor tasks in agile environments.
Technical Qualifications:
- Core AI & Math: Expert knowledge of Monte Carlo methods (MCMC, Sequential Monte Carlo, Quasi-Monte Carlo) and their application in AI/ML environments.
- Programming: Mastery of Python or C++ (high-performance computing experience is a major plus).
- Infrastructure: Solid understanding of cloud-based AI deployment (AWS, Azure, or GCP) and containerization (Docker/Kubernetes).
- Strategic Thinking: 10+ years of experience navigating the trade