Machine Learning Engineer
Portland, OR · On-site
... g., Bayesian networks, structural causal models) Experience building or working with knowledge graphs (Neo4j, RDF, graph databases) Understanding of explainable AI techniques (SHAP, LIME ...
Machine Learning Engineer
Portland, OR · On-site
... g., Bayesian networks, structural causal models) Experience building or working with knowledge graphs (Neo4j, RDF, graph databases) Understanding of explainable AI techniques (SHAP, LIME ...
Machine Learning Engineer
Portland, OR · On-site
... Bayesian networks, structural causal models) • Experience building or working with knowledge graphs (Neo4j, RDF, graph databases) • Understanding of explainable AI techniques (SHAP, LIME ...
Machine Learning Engineer
Portland, OR · On-site
... Bayesian networks, structural causal models) • Experience building or working with knowledge graphs (Neo4j, RDF, graph databases) • Understanding of explainable AI techniques (SHAP, LIME ...
... Bayesian networks, structural causal models) • Experience building or working with knowledge graphs (Neo4j, RDF, graph databases) • Understanding of explainable AI techniques (SHAP, LIME ...
Quick apply
... Bayesian networks, structural causal models) • Experience building or working with knowledge graphs (Neo4j, RDF, graph databases) • Understanding of explainable AI techniques (SHAP, LIME ...
... Bayesian networks, structural causal models) • Experience building or working with knowledge graphs (Neo4j, RDF, graph databases) • Understanding of explainable AI techniques (SHAP, LIME ...
... Bayesian networks, structural causal models) • Experience building or working with knowledge graphs (Neo4j, RDF, graph databases) • Understanding of explainable AI techniques (SHAP, LIME ...
Research Data Analyst 1
Cleveland, OH · On-site
$52.71K - $66.67K/yr
Strong background in one or more areas of machine learning (Bayesian networks, neural networks, Markov Models, convolutional networks etc.) * Exposure to computational and/or systems biology ...
Research Data Analyst 1
Cleveland, OH · On-site
$52.71K - $66.67K/yr
Strong background in one or more areas of machine learning (Bayesian networks, neural networks, Markov Models, convolutional networks etc.) * Exposure to computational and/or systems biology ...
Computational Biologist
Worcester, MA · On-site
Integrate genetic, molecular, and clinical features to identify mediators linking genotype to phenotype using mediation and causal inference frameworks (e.g., Bayesian networks). * Combine data from ...
Computational Biologist
Worcester, MA · On-site
Integrate genetic, molecular, and clinical features to identify mediators linking genotype to phenotype using mediation and causal inference frameworks (e.g., Bayesian networks). * Combine data from ...
Computational Biologist
Worcester, MA · On-site
$80K - $90K/yr
Integrate genetic, molecular, and clinical features to identify mediators linking genotype to phenotype using mediation and causal inference frameworks (e.g., Bayesian networks). * Combine data from ...
Computational Biologist
Worcester, MA · On-site
$80K - $90K/yr
Integrate genetic, molecular, and clinical features to identify mediators linking genotype to phenotype using mediation and causal inference frameworks (e.g., Bayesian networks). * Combine data from ...
Bayesian networks, natural language processing, neural networks, data clustering, and segmentation Functionally proficient working with both structured and unstructured data Programming Languages:
New
Bayesian networks, natural language processing, neural networks, data clustering, and segmentation Functionally proficient working with both structured and unstructured data Programming Languages:
New
Data Scientist
Columbus, OH · On-site
Understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling * Experience with Cloud Machine ...
New
Data Scientist
Columbus, OH · On-site
Understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling * Experience with Cloud Machine ...
New
Computational Biologist
Worcester, MA · On-site
$80K - $90K/yr
Integrate genetic, molecular, and clinical features to identify mediators linking genotype to phenotype using mediation and causal inference frameworks (e.g., Bayesian networks). * Combine data from ...
Computational Biologist
Worcester, MA · On-site
$80K - $90K/yr
Integrate genetic, molecular, and clinical features to identify mediators linking genotype to phenotype using mediation and causal inference frameworks (e.g., Bayesian networks). * Combine data from ...
Operations Research Analyst with Security Clearance
Offutt Air Force Base, NE · On-site
$93.30K - $110.40K/yr
... Bayesian networks, System Dynamics, Vensim). ● Familiarity with MAVEN Smart Systems, Tableau, or Power BI for model output visualization. ● Experience with Machine Learning model development and ...
Operations Research Analyst with Security Clearance
Offutt Air Force Base, NE · On-site
$93.30K - $110.40K/yr
... Bayesian networks, System Dynamics, Vensim). ● Familiarity with MAVEN Smart Systems, Tableau, or Power BI for model output visualization. ● Experience with Machine Learning model development and ...
Bayesian networks, natural language processing, neural networks, data clustering, and segmentation Functionally proficient working with both structured and unstructured data Programming languages:
Bayesian networks, natural language processing, neural networks, data clustering, and segmentation Functionally proficient working with both structured and unstructured data Programming languages:
Understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling * Experience with Cloud Machine ...
New
Understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling * Experience with Cloud Machine ...
New
Bayesian Statistician (Data Scientist) - Aurora, CO
$78.85K - $236.58K/yr
Bayesian Statistician (Data Scientist) Aurora, CO Applications will be accepted on an ongoing basis ... Networks * Proficient with Python, Jupyter, Markdown * Experience working with databases such as ...
Bayesian Statistician (Data Scientist) - Aurora, CO
$78.85K - $236.58K/yr
Bayesian Statistician (Data Scientist) Aurora, CO Applications will be accepted on an ongoing basis ... Networks * Proficient with Python, Jupyter, Markdown * Experience working with databases such as ...
Risk Analysis Engineer
Annapolis Junction, MD · On-site
$86K - $138K/yr
Experience with Bayesian networks or causal modeling * Knowledge of portfolio risk aggregation techniques Peraton Overview Peraton is a next-generation national security company that drives missions ...
Risk Analysis Engineer
Annapolis Junction, MD · On-site
$86K - $138K/yr
Experience with Bayesian networks or causal modeling * Knowledge of portfolio risk aggregation techniques Peraton Overview Peraton is a next-generation national security company that drives missions ...
Senior Engineer, Automotive Prognostics and Health Management (PHM)
Newark, CA · On-site
$117.50K - $161.40K/yr
Experience with Bayesian networks or probabilistic modeling. * Experience with uncertainty quantification techniques, such as Bayesian Inference, Monte Carlo simulation. * Experience with building ...
Senior Engineer, Automotive Prognostics and Health Management (PHM)
Newark, CA · On-site
$117.50K - $161.40K/yr
Experience with Bayesian networks or probabilistic modeling. * Experience with uncertainty quantification techniques, such as Bayesian Inference, Monte Carlo simulation. * Experience with building ...
Risk Analysis Engineer
Annapolis Junction, MD · On-site
$86K - $138K/yr
Experience with Bayesian networks or causal modeling * Knowledge of portfolio risk aggregation techniques Peraton Overview Peraton is a next-generation national security company that drives missions ...
Risk Analysis Engineer
Annapolis Junction, MD · On-site
$86K - $138K/yr
Experience with Bayesian networks or causal modeling * Knowledge of portfolio risk aggregation techniques Peraton Overview Peraton is a next-generation national security company that drives missions ...
Risk Analysis Engineer
Basking Ridge, NJ · On-site
$86K - $138K/yr
Experience with Bayesian networks or causal modeling * Knowledge of portfolio risk aggregation techniques Peraton Overview Peraton is a next-generation national security company that drives missions ...
Risk Analysis Engineer
Basking Ridge, NJ · On-site
$86K - $138K/yr
Experience with Bayesian networks or causal modeling * Knowledge of portfolio risk aggregation techniques Peraton Overview Peraton is a next-generation national security company that drives missions ...
Risk Analysis Engineer
Basking Ridge, NJ · On-site
$86K - $138K/yr
Experience with Bayesian networks or causal modeling * Knowledge of portfolio risk aggregation techniques Peraton Overview Peraton is a next-generation national security company that drives missions ...
Risk Analysis Engineer
Basking Ridge, NJ · On-site
$86K - $138K/yr
Experience with Bayesian networks or causal modeling * Knowledge of portfolio risk aggregation techniques Peraton Overview Peraton is a next-generation national security company that drives missions ...
... Bayesian Networks, etc. * Experience with pattern recognition and extraction, automated classification, and categorization * Experience with entity resolution (e.g., record linking, named-entity ...
Quick apply
... Bayesian Networks, etc. * Experience with pattern recognition and extraction, automated classification, and categorization * Experience with entity resolution (e.g., record linking, named-entity ...
Bayesian Networks information
What are the key skills and qualifications needed to thrive as a Bayesian Networks Specialist, and why are they important?
To thrive as a Bayesian Networks Specialist, you need a strong background in statistics, probability theory, and machine learning, often supported by a degree in computer science, mathematics, or a related field. Proficiency with programming languages such as Python or R, and experience using specialized libraries like pgmpy or bnlearn, are typically required. Strong analytical thinking, problem-solving ability, and effective communication skills set standout professionals apart in this role. These competencies are crucial for designing, implementing, and interpreting Bayesian models that inform critical decision-making in complex domains.
What are some common challenges faced by professionals working with Bayesian Networks in real-world projects?
Professionals working with Bayesian Networks often encounter challenges such as handling incomplete or noisy data, defining accurate conditional dependencies, and ensuring computational efficiency for large or complex networks. Collaboration with domain experts is crucial to correctly structure the network and validate assumptions. Additionally, integrating Bayesian models with existing data systems and effectively communicating probabilistic results to non-technical stakeholders are important aspects of the role.
What are Bayesian Networks?
Bayesian Networks are probabilistic graphical models that represent a set of variables and their conditional dependencies using a directed acyclic graph. They are used to model uncertainty in complex systems by encoding relationships between variables and allowing for efficient inference and reasoning. These networks are widely applied in fields such as machine learning, diagnostics, decision support, and bioinformatics to help predict outcomes and understand causal relationships.
What is the difference between Bayesian Networks vs Data Analysts?
| Aspect | Bayesian Networks | Data Analysts |
|---|---|---|
| Required Credentials | Statistics, Data Science, Computer Science degrees; certifications in probabilistic modeling | Statistics, Data Science, Business Analytics degrees; certifications in data analysis tools |
| Work Environment | Research, modeling, and algorithm development in tech or research firms | Data interpretation, reporting, and visualization across various industries |
| Industry Usage | Used for probabilistic reasoning, decision support, and machine learning | Used for data interpretation, reporting, and business insights |
Bayesian Networks focus on probabilistic modeling and decision-making algorithms, often requiring advanced statistical knowledge. Data Analysts primarily interpret and visualize data to inform business decisions. While both roles involve data, Bayesian Networks are more technical and model-driven, whereas Data Analysts focus on data interpretation and reporting.
More about Bayesian Networks jobs
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What states have the most Bayesian Networks jobs? States with the most job openings for Bayesian Networks jobs include:
What job categories do people searching Bayesian Networks jobs look for? The top searched job categories for Bayesian Networks jobs are:
Contractor
Posted 9 days ago
Job description
Job Description
Job Title: Machine Learning Engineer
Location: Portland, OR - Onsite (Local only / F2F interview)
Duration: 24 Months Contract
Experience Level: 5+ years of experience
Required Qualifications
Bachelor's or master's degree in computer science, Machine Learning, Electrical Engineering, or related field
5+ years of experience in machine learning, data science, or AI engineering
Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow)
Experience with time-series data analysis and anomaly detection
Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models)
Experience building or working with knowledge graphs (Neo4j, RDF, graph databases)
Understanding of explainable AI techniques (SHAP, LIME, counterfactual analysis)
Experience deploying ML models in production systems
Strong problem-solving skills and ability to work with complex, real-world datasets
Preferred Qualifications
Experience with fault tree analysis (FTA), reliability engineering, or failure analysis
Background in industrial systems, semiconductors, manufacturing, or IoT environments
Experience with graph-based ML / Graph Neural Networks (GNNs)
Familiarity with RCA methodologies (FMEA, 5 Whys, fishbone diagrams)
Experience with vector databases, RAG systems, or LLM-based reasoning
Knowledge of MLOps practices (CI/CD, monitoring, model governance)
Experience working in air-gapped or high-security environments
Additional Information
All your information will be kept confidential according to EEO guidelines.