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Bayesian Networks Jobs in Silver Spring, MD (NOW HIRING)

ManTech International

Data Scientist

Ashburn, VA · On-site

$83K - $139K/yr

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

ManTech

Data Scientist

Ashburn, VA · Hybrid

$83K - $139K/yr

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

Barrow Wise Consulting

AI Engineer

MD · On-site

$80K - $160K/yr

... as Bayesian, coordinate descent, gradient descent, and evolutionary * Utilizes big data computation and storage models to create prototypes and data sets * Develop Convolutional Neural Networks and ...

Digital Harbor Foundation

Research Scientist

Baltimore, MD · Remote

$120K - $150K/yr

... Networks, or AI-accelerated FEM modeling * Familiarity with uncertainty quantification methods (e.g., ensembles, Bayesian inference) and sensitivity analysis techniques (e.g., adjoint methods) in a ...

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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.
What are popular job titles related to Bayesian Networks jobs in Silver Spring, MD? For Bayesian Networks jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Bayesian Networks jobs in Silver Spring, MD look for? The top searched job categories for Bayesian Networks jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Bayesian Networks jobs? Cities near Silver Spring, MD with the most Bayesian Networks job openings:
Bayesian Networks jobs near you

Data Scientist with Security Clearance

MANTECH

Ashburn, VA • On-site

Other

Posted 27 days ago

ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 241 rated software companies

Job description

MANTECH seeks a motivated, career- and customer-oriented Data Scientist to join our innovative team in Ashburn, VA. This is a hybrid position with 2 days onsite and 3 days remote. Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of "big data" solutions to promote efficient trade and travel. These solutions provide CBP personnel with additional tools to evaluate potential threats from legitimate trade and travel. Responsibilities include but are not limited to: * Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation).
* Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation.
* Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions.
* Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching.
Minimum Qualifications: * HS Diploma/GED and 6-15 years or AS/AA and 4-13 years or BS/BA and 2-7 years or MS/MA/MBA and 0-5 years or PhD/Doctorate and 0-3 years
* Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems
* Experience with programming languages including: R, Python, Scala, Java.
* Experience with SQL programming
* Experience constructing and executing queries to extract data in support of EDA and model development
* Experience with unsupervised and supervised machine learning techniques and methods
* Experience performing data mining, analysis, and training set construction Preferred Qualifications * Proficiency with statistical software packages including SAS, SPSS Modeler, R, WEKA, or equivalent
* Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc.
* Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc.
* Experience with pattern recognition and extraction, automated classification, and categorization and with entity resolution (e.g., record linking, named entity matching, deduplication/ disambiguation)
* Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, Tableau, SAS Visual Analytics, PowerBI)
* Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop)
Clearance Requirements: * Must be a U.S. citizen with the ability to obtain DHS CBP suitability prior to starting this position.
Physical Requirements: * The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations.

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