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Bayesian Phd Jobs in Washington (NOW HIRING)

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

... or PhD preferred * 5+ years of experience building and deploying production ML systems, with a ... Regression, Bayesian methods, hypothesis testing, experimental design, time series, causal ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

... or PhD preferred * 5+ years of experience building and deploying production ML systems, with a ... Regression, Bayesian methods, hypothesis testing, experimental design, time series, causal ...

Ipsos

Statistician

Washington, DC · On-site

$100K - $120K/yr

Masters or PhD in statistics, biostatistics, data science, computer science, or a relevant highly ... Experience with Bayesian modeling and / or supporting the design and implementation of complex ...

ManTech International

Data Scientist

Ashburn, VA · On-site

$83K - $139K/yr

... PhD/Doctorate and 0-3 years * Experience in developing machine learning models and applying ... Bayesian Networks, etc. * Experience with pattern recognition and extraction, automated ...

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Bayesian Phd information

What are some common challenges faced by a Bayesian PhD researcher during collaborative projects?

Bayesian PhD researchers often collaborate with interdisciplinary teams, which can present challenges such as communicating complex statistical concepts to non-specialists and integrating Bayesian methods with other analytical frameworks. Balancing the depth of theoretical work with practical problem-solving, managing computational demands, and aligning project goals with collaborators' expectations are also common hurdles. Successful collaboration typically requires strong communication skills, adaptability, and a willingness to bridge methodological gaps between disciplines.

What are the key skills and qualifications needed to thrive as a Bayesian PhD?

To thrive as a Bayesian PhD, you need advanced knowledge of probability theory, statistical inference, and mathematics, typically supported by a doctoral degree in statistics, mathematics, or a related field. Proficiency with statistical programming languages like R, Python, and specialized Bayesian tools such as Stan or BUGS is essential. Strong critical thinking, problem-solving, and clear communication skills help in articulating complex analyses and collaborating across disciplines. These capabilities are crucial for developing rigorous models, conducting impactful research, and translating statistical insights into actionable solutions.

What is the difference between Bayesian Phd vs Data Scientist?

AspectBayesian PhdData Scientist
Required CredentialsPhD in Statistics, Mathematics, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch-focused, academic or specialized industry rolesBusiness-focused, tech companies, or consulting firms
Industry UsageAcademic research, advanced analytics, specialized modelingData analysis, machine learning, business insights
Common Search/ComparisonYesYes

While a Bayesian PhD specializes in advanced statistical modeling and research, a Data Scientist applies data analysis and machine learning techniques in practical business contexts. Both roles require strong analytical skills, but the Bayesian PhD typically focuses on theoretical development, whereas the Data Scientist emphasizes application and implementation.

What is a Bayesian PhD?

A Bayesian PhD typically refers to an individual who has completed a doctoral program with a focus on Bayesian statistics or Bayesian methods in their research. Bayesian statistics is a branch of statistics that uses probability distributions to represent uncertainty about unknowns, updating beliefs as new data becomes available. Students in this field learn to develop and apply Bayesian models to a wide range of problems in science, engineering, and social sciences. A PhD program with a Bayesian focus often involves advanced coursework in probability theory, statistical inference, and computational methods, as well as original research using Bayesian approaches.
What are popular job titles related to Bayesian Phd jobs in Washington? For Bayesian Phd jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Bayesian Phd jobs in Washington look for? The top searched job categories for Bayesian Phd jobs in Washington are:
What cities in Washington are hiring for Bayesian Phd jobs? Cities in Washington with the most Bayesian Phd job openings:
Bayesian Phd jobs near you
Infographic showing various Bayesian Phd job openings in Washington as of June 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Data Scientist with Security Clearance

MANTECH

Ashburn, VA • On-site

Other

Re-posted 2 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 242 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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