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Bayesian Networks Jobs (NOW HIRING)

Peraton

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 ...

ManTech

Data Scientist

Ashburn, VA · Hybrid

... Bayesian Networks, etc. * Experience with pattern recognition and extraction, automated classification, and categorization and with entity resolution (e.g., record linking, named entity matching ...

SourceFly LLC

Data Scientist

Ashburn, VA · On-site

... Bayesian Networks, etc. * Experience with pattern recognition and extraction, automated classification, and categorization * Experience with entity resolution (e.g., record linking, named-entity ...

ManTech

Data Scientist

Ashburn, VA · Hybrid

... Bayesian Networks, etc. * Experience with pattern recognition and extraction, automated classification, and categorization and with entity resolution (e.g., record linking, named entity matching ...

Utah State University

Postdoctoral Fellow I

Logan, UT · On-site

$42.30K - $57.40K/yr

Knowledge about PINs, graphical models such as the dynamic Bayesian networks. Along with the online application, please attach: 1. Resume/CV to be uploaded at the beginning of your application in the ...

Utah State University

Postdoctoral Fellow I

Logan, UT · On-site

$42.30K - $57.40K/yr

Knowledge about PINs, graphical models such as the dynamic Bayesian networks. Required Documents Along with the online application, please attach: 1. Resume/CV to be uploaded at the beginning of your ...

Huntington

GenAI Lead Data Scientist

Columbus, OH · On-site

Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling * Strong experience with ...

Huntington

GenAI Lead Data Scientist

Columbus, OH · On-site

PhD in computer science, statistics, economics or related fields Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression ...

Huntington

GenAI Lead Data Scientist

Columbus, OH · On-site

Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling * Strong experience with ...

Huntington

Senior Data Scientist

Columbus, OH · On-site

... such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling Financial Services background #LI-NG1 #LI-Onsite Exempt Status: (Yes = not ...

FICO

AI Pre-Sales Scientist

San Diego, CA · On-site

$98K - $154K/yr

Bayesian networks, PCA, independent component analysis, linear and logistic regressions, inference, estimation, experimental design, neural networks, SVM. Our O ffer t o You * An inclusive culture ...

Johnson Controls

Senior Data Scientist

Milwaukee, WI

Strong practical knowledge of LLM, Reinforcement Learning, Hugging Face, Generative AI, Signal Processing, and Outlier Detection, Bayesian Networks. * Leadership Skills: A Data Science Lead should ...

Fair Isaac

AI Pre-Sales Scientist

San Diego, CA · On-site

$98K - $154K/yr

Bayesian networks, PCA, independent component analysis, linear and logistic regressions, inference, estimation, experimental design, neural networks, SVM. Our Offer To You * An inclusive culture ...

Fusion Risk Management

Senior Data Scientist

... Bayesian networks, optimization (linear and constraint programming), and generative capabilities. • Design and build entity resolution models that match and link records across disparate customer ...

ManTech International

Data Scientist

Ashburn, VA · On-site

... Bayesian Networks, etc. * Experience with pattern recognition and extraction, automated classification, and categorization and with entity resolution (e.g., record linking, named entity matching ...

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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?

AspectBayesian NetworksData Analysts
Required CredentialsStatistics, Data Science, Computer Science degrees; certifications in probabilistic modelingStatistics, Data Science, Business Analytics degrees; certifications in data analysis tools
Work EnvironmentResearch, modeling, and algorithm development in tech or research firmsData interpretation, reporting, and visualization across various industries
Industry UsageUsed for probabilistic reasoning, decision support, and machine learningUsed 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.

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GenAI Lead Data Scientist

GenAI Lead Data Scientist

Huntington National Bank

Columbus, OH • On-site

Full-time

Posted 17 days ago

Huntington National Bank rating

8.1

Company rating: 8.1 out of 10

Based on 162 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

Description
Summary:
The Lead Data Scientist contributes to building and developing the organization's data infrastructure and supports the senior leadership with insights, management reports, and analysis for decision-making processes.
Duties and Responsibilities:
  • Performs advanced analytics methods to extract value from business data.
  • Performs large-scale experimentation and build data-driven models to answer business questions.
  • Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
  • Determines requirements that will be used to train and evolve deep learning models and algorithms.
  • Articulates a vision and roadmap for the exploitation of data as a valued corporate asset.
  • Influences product teams through presentation of data-based recommendations.
  • Evangelizes best practices to analytics and products teams.
  • Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring.
  • Performs other duties as assigned.

Basic Qualifications:
  • Master's degree in computer science, statistics, economics or related field
  • 5+ years of experience related work experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, scripting languages, and packages, including experience with big data analysis tools and techniques, and building and deploying predictive models, web scraping, and scalable data pipelines.

Preferred Qualifications:
  • PhD in computer science, statistics, economics or related fields
  • Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
  • Strong experience with R, RSTudio, Python, SAS, SQL, NoSL
  • Up-to-date knowledge of machine learning and data analytics tools and techniques
  • Strong knowledge in predictive modeling methodology
  • Experienced at leveraging both structured and unstructured data sources
  • Willingness and ability to learn new technologies on the job
  • Demonstrated ability to communicate complex results to technical and non-technical audiences
  • Strategic, intellectually curious thinker with focus on outcomes
  • Professional image with the ability to form relationships across functions
  • Ability to train more junior analysts regarding day-to-day activities, as necessary
  • Proven ability to lead cross-functional teams
  • Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
  • Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
  • Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL)
  • Financial Services background

#LI-NG1
#LI-Onsite
Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)
Yes
Workplace Type:
Office
Our Approach to Office Workplace Type
Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.
Huntington is an Equal Opportunity Employer.
Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.
Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

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