ZipRecruiter

Log In

1

Bayesian Phd Jobs in Virginia (NOW HIRING)

ManTech

Data Scientist

Ashburn, VA · Hybrid

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

Koalafi

Senior Data Scientist

Richmond, VA

... PhD in a quantitative or STEM field, and a strong understanding of probability, statistics, and predictive modeling algorithms (e.g., Boosting, Random Forests, Decision Trees, Bayesian models)

ManTech International

Data Scientist

Ashburn, VA · On-site

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

Capital One

Manager, Talent Assessment

Mclean, VA

PhD in Industrial and Organizational Psychology, Organizational Behavior, or other technical or ... or Bayesian modeling * Experience working in cross-functional teams to push enterprise-level ...

Capital One

Manager, Talent Assessment

Mclean, VA · On-site

PhD in Industrial and Organizational Psychology, Organizational Behavior, or other technical or ... or Bayesian modeling * Experience working in cross-functional teams to push enterprise-level ...

Koalafi

Senior Data Scientist

Richmond, VA · On-site

... PhD in a quantitative or STEM field, and a strong understanding of probability, statistics, and predictive modeling algorithms (e.g., Boosting, Random Forests, Decision Trees, Bayesian models)

People also search for

All JobsBayesian Phd JobsBayesian Phd Jobs in Virginia

Bayesian Phd information

What are the key skills and qualifications needed to thrive as a Bayesian PhD, and why are they important?

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 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 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 jobs make $3,000 a month without a degree?

Jobs that can pay around $3,000 a month without requiring a degree include roles such as data analyst, freelance writer, or web developer, often relying on skills, certifications, or self-education. Positions in sales, customer service, or certain trades like electrician or HVAC technician may also reach this income level with experience. Success in these roles typically depends on skill proficiency, certifications, or building a client base rather than formal degrees.

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 are popular job titles related to Bayesian Phd jobs in Virginia? For Bayesian Phd jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Bayesian Phd jobs in Virginia look for? The top searched job categories for Bayesian Phd jobs in Virginia are:
What cities in Virginia are hiring for Bayesian Phd jobs? Cities in Virginia with the most Bayesian Phd job openings:
Bayesian Phd jobs near you
Quantitative Risk Modeler -- 16757

Quantitative Risk Modeler -- 16757

Seneca Resources Company, LLC

Vienna, VA • On-site

$60 - $72/hr

Contractor

Posted 22 days ago

Job description

Title: Quantitative Risk Modeler
Location: Vienna, VA OR Winchester, VA OR Pensacola, FL
Job Type: Contract (extensions expected)
Years of Experience: 10+ years and/or doctorate degree required
Pay Rate:
Pensacola Pay : $60/hr on W2 or $72/hr on C2C
Winchester Pay : $63.00/hr on W2 or $71/hr on C2C
Vienna Pay:$70/hr on W2 or $77/hr on C2C
Role Summary
This is a senior-level (10+ years / PhD) position focused on quantitative modeling for cybersecurity risk. It blends:
  • Advanced mathematics & statistics
  • Machine learning & probabilistic modeling
  • Cybersecurity analytics
  • Data engineering + visualization
Core Responsibilities (implied)
Although not explicitly listed, based on the requirements, you'd likely:
  • Build risk models using probability, statistics, and ML
  • Apply game theory to simulate attacker vs defender scenarios
  • Analyze large datasets (cyber/security data)
  • Design data pipelines and models
  • Create dashboards and visualizations for leadership
  • Translate complex technical insights into business decisions
Required Qualifications
Very high bar:
  • PhD in Mathematics, Physics, or Statistics (or equivalent deep experience)
  • 10+ years of experience
Strong theoretical background in:
  • Probabilistic theory
  • Dynamic systems
  • Statistical modeling
  • Machine learning algorithms
Technical Skills
You're expected to be very strong in:
  • Programming: Python, SQL
  • Tools: Jupyter Notebook / VS Code
  • Data concepts:
    • Data modeling
    • Data mining
    • Database design
  • Visualization:
    • Strategy + tools like Power BI, Plotly
Advanced / Niche Expertise
This is what makes the role elite-level:
  • Game Theory (important!)
    • Bayesian games
    • Nash equilibrium
    • Algorithmic game theory
  • Cybersecurity knowledge:
    • Security frameworks
    • Risk analytics
Soft Skills
They emphasize:
  • Communication with both technical & non-technical stakeholders
  • Presentation skills (likely reporting to leadership)
  • Ability to simplify complex models into actionable insights.

About Seneca Resources:
Seneca Resources is client driven provider of strategic Information Technology consulting services and Workforce Solutions to government and industry. Seneca Resources is a leading IT services provider with offices in Reston, Virginia, Alabama and Columbia, Maryland that service clients throughout the United States. The key to our success lies within our strong corporate culture which drives our business. We challenge our staff through engaging work, and we reward our staff through competitive compensation, extensive professional training, and excellent opportunities for career advancement. In turn, we look for only the best and brightest to join our team. We are an Equal Opportunity Employer and value the benefits of diversity in our workplace.

Apply