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Bayesian Networks Jobs (NOW HIRING)

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 ...

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

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical ... Deep understanding of diverse machine learning algorithms, including Deep Learning (Neural Networks ...

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical ... Deep understanding of diverse machine learning algorithms, including Deep Learning (Neural Networks ...

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical ... Deep understanding of diverse machine learning algorithms, including Deep Learning (Neural Networks ...

(USA) Senior Manager, Data Science

Goshen, AR ยท On-site

$110K - $220K/yr

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical ... Deep understanding of diverse machine learning algorithms, including Deep Learning (Neural Networks ...

(USA) Senior Manager, Data Science

Noel, MO ยท On-site

$110K - $220K/yr

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical ... Deep understanding of diverse machine learning algorithms, including Deep Learning (Neural Networks ...

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical ... Deep understanding of diverse machine learning algorithms, including Deep Learning (Neural Networks ...

(USA) Senior Manager, Data Science

Elkins, AR ยท On-site

$110K - $220K/yr

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical ... Deep understanding of diverse machine learning algorithms, including Deep Learning (Neural Networks ...

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical ... Deep understanding of diverse machine learning algorithms, including Deep Learning (Neural Networks ...

(USA) Senior Manager, Data Science

Lowell, AR ยท On-site

$110K - $220K/yr

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical ... Deep understanding of diverse machine learning algorithms, including Deep Learning (Neural Networks ...

(USA) Senior Manager, Data Science

Decatur, AR ยท On-site

$110K - $220K/yr

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical ... Deep understanding of diverse machine learning algorithms, including Deep Learning (Neural Networks ...

(USA) Senior Manager, Data Science

Rogers, AR ยท On-site

$110K - $220K/yr

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical ... Deep understanding of diverse machine learning algorithms, including Deep Learning (Neural Networks ...

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical ... Deep understanding of diverse machine learning algorithms, including Deep Learning (Neural Networks ...

(USA) Senior Manager, Data Science

Gravette, AR ยท On-site

$110K - $220K/yr

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical ... Deep understanding of diverse machine learning algorithms, including Deep Learning (Neural Networks ...

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical ... Deep understanding of diverse machine learning algorithms, including Deep Learning (Neural Networks ...

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical ... Deep understanding of diverse machine learning algorithms, including Deep Learning (Neural Networks ...

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical ... Deep understanding of diverse machine learning algorithms, including Deep Learning (Neural Networks ...

(USA) Senior Manager, Data Science

Johnson, AR ยท On-site

$110K - $220K/yr

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical ... Deep understanding of diverse machine learning algorithms, including Deep Learning (Neural Networks ...

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Bayesian Networks information

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.

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.
More about Bayesian Networks jobs
What cities are hiring for Bayesian Networks jobs? Cities with the most Bayesian Networks job openings:
What states have the most Bayesian Networks jobs? States with the most job openings for Bayesian Networks jobs include:
Infographic showing various Bayesian Networks job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution.
Senior Data Scientist - Onsite

Senior Data Scientist - Onsite

Genesis10

Columbus, OH โ€ข On-site

$55 - $65/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 25 days ago


Job description

Genesis10 is currently seeking a Senior Data Scientist for a hybrid position with a Regional Financial Institution located in Columbus, OH. This is an 8+ month contract opportunity.
Pay Range: $55.00 - $65.00 per hour based on experience and qualifications

Position Overview:
This dynamic role uses a consultative approach with the business segments to dive into customer, product, channel, and digital data to uncover opportunities for consumer experience optimization and customer value delivery. The ideal candidate will have a robust mix of technical and communication skills, with a passion for optimization, data storytelling, and data visualization. You will collaborate with a centralized team of data scientists as well as teams across the organization including Product, Marketing, Data, Finance, and senior leadership.
Primary Responsibilities:
  • Use advanced analytics methods to extract value from business data
  • Perform large-scale experimentation and build data-driven models to answer business questions
  • Conduct research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence
  • Determine requirements that will be used to train and evolve deep learning models and algorithms
  • Influence product teams through presentation of data-based recommendations

Requirements:
  • Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree
  • In lieu of a Master's degree, a Bachelor's degree with a minimum of 3 years work experience in analytics or data science
  • Experience with R, RStudio, Python, SAS, SQL, NoSQL
  • Direct experience with SQL programming and large database applications such as Oracle, DB2, SQL Server, SPSS, Teradata, and Hadoop

Desired Skills:
  • Up-to-date knowledge of machine learning and data analytics tools and techniques
  • Knowledge in predictive modeling methodology
  • Experienced at leveraging both structured and unstructured data sources
  • Willingness and ability to learn new technologies on the job
  • Experience conducting statistical analysis with advanced statistical software, scripting languages, and packages
  • Experience with big data analysis tools and techniques
  • Foundational knowledge of building and deploying predictive models, web scraping, and scalable data pipelines
  • 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 Learning technologies (e.g., AWS Sagemaker)
  • Experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret, Streamlit)
  • Financial Services background
  • A curious mind with a thirst for discovery, answers, optimization, and continuous improvement
  • Excellent written and verbal communication skills with a proven ability to interact effectively across all organizational levels
  • Creative thinker and problem solver, with a strong ability to manage ambiguity/complexity
  • Work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines

Only candidates available and ready to work directly as Genesis10 employees will be considered for this position.
If you have the described qualifications and are interested in this exciting opportunity, please apply!
About Genesis10:
Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals.
For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client.
Benefits of Working with Genesis10:
  • Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years
  • The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years
  • Access to an experienced, caring recruiting team (more than 7 years of experience, on average)
  • Behavioral Health Platform
  • Medical, Dental, Vision
  • Health Savings Account
  • Voluntary Hospital Indemnity (Critical Illness & Accident)
  • Voluntary Term Life Insurance
  • 401K
  • Sick Pay (for applicable states/municipalities)
  • Commuter Benefits (Dallas, NYC, SF, and Illinois)

For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website .
Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Genesis10 logo

About Genesis10

Sourced by ZipRecruiter

For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

New York, NY, US

Year founded

1999