Statistical emphasis on data mining techniques, Bayesian Networks Inference, CHAID, CART, Association Rule, Linear and non-linear regression, hierarchical mixed models/ multi-level modeling 1+ years ...
Statistical emphasis on data mining techniques, Bayesian Networks Inference, CHAID, CART, Association Rule, Linear and non-linear regression, hierarchical mixed models/ multi-level modeling 1+ years ...
Postdoctoral Appointee: AI-Driven Industrial Energy Systems and Supply Chain Modeling
Lemont, IL · On-site
$49K - $67K/yr
... networks, forecasting, uncertainty quantification, sensitivity analysis, surrogate modeling ... with Bayesian methods, graph/network analytics, reinforcement learning, or other advanced AI ...
Postdoctoral Appointee: AI-Driven Industrial Energy Systems and Supply Chain Modeling
Lemont, IL · On-site
$49K - $67K/yr
... networks, forecasting, uncertainty quantification, sensitivity analysis, surrogate modeling ... with Bayesian methods, graph/network analytics, reinforcement learning, or other advanced AI ...
Postdoctoral Appointee: AI-Driven Industrial Energy Systems and Supply Chain Modeling
Lemont, IL · On-site
Background in one or more of the following: time-series analysis, neural networks, forecasting ... Experience with Bayesian methods, graph/network analytics, reinforcement learning, or other ...
Postdoctoral Appointee: AI-Driven Industrial Energy Systems and Supply Chain Modeling
Lemont, IL · On-site
Background in one or more of the following: time-series analysis, neural networks, forecasting ... Experience with Bayesian methods, graph/network analytics, reinforcement learning, or other ...
Background in one or more of the following: time-series analysis, neural networks, forecasting ... Experience with Bayesian methods, graph/network analytics, reinforcement learning, or other ...
Background in one or more of the following: time-series analysis, neural networks, forecasting ... Experience with Bayesian methods, graph/network analytics, reinforcement learning, or other ...
Champion the use of oncology-appropriate innovations, including Bayesian designs, adaptive trial ... networks. Required Qualifications: * Advanced degree (PhD, MD, MBA, or equivalent) in Oncology ...
Champion the use of oncology-appropriate innovations, including Bayesian designs, adaptive trial ... networks. Required Qualifications: * Advanced degree (PhD, MD, MBA, or equivalent) in Oncology ...
Data Scientist
Chicago, IL · On-site
Experience with advanced machine learning modeling techniques and algorithms such as Bayesian inference, Deep Learning neural networks, k-means clustering, etc * Familiarity with feature store ...
Data Scientist
Chicago, IL · On-site
Experience with advanced machine learning modeling techniques and algorithms such as Bayesian inference, Deep Learning neural networks, k-means clustering, etc * Familiarity with feature store ...
Data Scientist
Chicago, IL · Hybrid
Experience with advanced machine learning modeling techniques and algorithms such as Bayesian inference, Deep Learning neural networks, k-means clustering, etc * Familiarity with feature store ...
Data Scientist
Chicago, IL · Hybrid
Experience with advanced machine learning modeling techniques and algorithms such as Bayesian inference, Deep Learning neural networks, k-means clustering, etc * Familiarity with feature store ...
Bayesian Networks information
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.
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 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 popular job titles related to Bayesian Networks jobs in Illinois? For Bayesian Networks jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Bayesian Networks jobs in Illinois look for? The top searched job categories for Bayesian Networks jobs in Illinois are:
Job description
Company Description
Dunn Solutions Group is a full-service information technology consulting firm. We bring exceptional strategic experience, design skills and technology expertise to every project, plus complementary capabilities in client education.
Focused on the business intelligence, application development and web/portal spaces, Dunn Solutions Group delivers services worldwide through offices in Chicago, Minneapolis, Raleigh, St. Louis, and Bangalore, India.
We work closely with our software vendor partners including SAP, Liferay, Microsoft, Informatica and others to deliver solutions to our clients.
Our IT professionals and business experts bridge the gap between business needs and technical solutions. Over the years, we have cultivated our experience and knowledge in a large number of industries and technologies in order to provide our customers with the most valuable solutions possible.
Specialties
Business Intelligence, Custom Application Development, Mobile Applications, Data Warehousing, Portals, E-Commerce
Website
http://www.dunnsolutions.com
Job Description
Dunn Solutions is growing our predictive analytics practice. Come join our experienced business intelligence and analytics team as we leverage the power of data and predictive modeling to change the way our clients run their businesses. This multi-dimensional role will report directly to our Predictive Analytics Practice Leader and will work with both our internal team and clients in a variety of verticals including retail, healthcare, and finance.
This is a full time position with benefits located right outside of Chicago in our Skokie, IL headquarters.
About Us - Dunn Solutions Group is an information technology consulting firm with exceptional strategic experience, design skills and technologic expertise. Focused on the business intelligence, application development and web/portal spaces, we deliver services through our offices in Chicago, Minneapolis, Raleigh, and Bangalore, India.
We are growing and we are seeking individuals who want careers, not just a job. If you want to make something happen in the technology world and enjoy working on challenging projects, seriously consider joining the Dunn Solutions Team.
Responsibilities
Strong generic understanding of functionality and/or willingness and ability to acquire deep SAP/KXEN knowledge
Ability to demonstration the value of the solution (not just demonstrate the functionality), and the ability to build a strong working relationship with client and Dunn team.
Builds and maintains models, including extracting and combining data from multiple sources using languages such as SQL, R, KXEN, SAP Predictive Analytics and SAS.
Possess teamwork, high integrity, self-starter, can-do attitude, problem solver
Development of new or revised statistical systems, and problem solving or investigation related to modeling. Such as, the development of advanced recommendation engine for use and sale to external ecommerce websites.
Facilitate and manage major internal initiatives and external client needs that use advanced mathematical and structured algorithms
Develop prototypes in client IT environment
Desired Skills and Experience
Advanced Analytics; needs experience actually building and deploying predictive models. Additionally, the candidate needs to have a fundamental statistics knowledge to be able to answer questions about underlying algorithms and processes. Preferred skills: Statistical emphasis on data mining techniques, Bayesian Networks Inference, CHAID, CART, Association Rule, Linear and non-linear regression, hierarchical mixed models/ multi-level modeling
1+ years of work experience in predictive projects
Consulting experience would be preferred
Experience with and comfort in discussing the role of analytics in customer lifecycle analytics
Intermediate to advanced programming skills enabling the individual to extract and manipulate data (R, Python, SAS, SQL, KXEN, and SAP Predictive Analytics).
Knowledge of data integration processes
Knowledge of data mining
Some experience performing data mining or statistical analysis in Retail, Insurance or Financial Services preferred
Fluent English is compulsory, additional languages are a plus.
Ability to travel 30%
EDUCATION :
Minimum of a Bachelor's Degree and/or PhD in Statistics/Applied Statistics, Applied Mathematics, or Economics
Qualifications
1+ years of work experience in predictive projects
Consulting experience would be preferred
Experience with and comfort in discussing the role of analytics in customer lifecycle analytics
Intermediate to advanced programming skills enabling the individual to extract and manipulate data (R, Python, SAS, SQL, KXEN, and SAP Predictive Analytics).
Knowledge of data integration processes
Knowledge of data mining
Some experience performing data mining or statistical analysis in Retail, Insurance or Financial Services preferred
Fluent English is compulsory, additional languages are a plus.
Ability to travel 30%
EDUCATION :
Minimum of a Bachelor's Degree and/or PhD in Statistics/Applied Statistics, Applied Mathematics, or Economics
Additional Information
All your information will be kept confidential according to EEO guidelines.
About Dunn Solutions Group
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Skokie, IL, US
Year founded
1988