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Bayesian Jobs in Washington, DC (NOW HIRING)

Meta

Competitive Intelligence Lead

Washington, DC

$177K/yr

Synthesize multiple, low-fidelity 3rd-party signals into a single high-fidelity trend report using Bayesian aggregation or other methods * Data transformation: Apply quasi-experimental designs (e.g ...

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Bayesian information

See Washington, DC salary details

$160.5K

$171.8K

$184.1K

How much do bayesian jobs pay per year?

As of Aug 25, 2026, the average yearly pay for bayesian in Washington, DC is $171,786.00, according to ZipRecruiter salary data. Most workers in this role earn between $166,418.00 and $177,154.00 per year, depending on experience, location, and employer.

What is a Bayesian?

A Bayesian job typically involves applying Bayesian statistics, probabilistic modeling, and inference techniques to analyze data and make decisions under uncertainty. Professionals in this field use Bayes' theorem to update beliefs based on new evidence, often working in areas like machine learning, finance, healthcare, and research. Common roles include Bayesian statisticians, data scientists, and researchers who build probabilistic models to improve predictions and decision-making.

What are the typical projects or challenges faced in a Bayesian role?

In a Bayesian role, you’ll often work on projects involving probabilistic modeling, uncertainty quantification, and predictive analytics for real-world decision-making. Common challenges include structuring prior distributions, ensuring computational efficiency for complex models, and clearly explaining Bayesian results to non-technical stakeholders. You might collaborate closely with data engineers, domain experts, and business analysts to refine models and translate findings into actionable recommendations. This role offers the opportunity to tackle diverse analytical problems across industries like healthcare, finance, or tech, supporting ongoing professional growth and learning.

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

To thrive as a Bayesian (typically a Bayesian Data Scientist or Statistician), you need a strong background in probability theory, statistical modeling, and mathematics, often with an advanced degree in statistics, data science, or a related quantitative field. Experience with programming languages such as Python or R, Bayesian analysis libraries (e.g., Stan, PyMC), and familiarity with statistical software are commonly required. Analytical thinking, collaborative teamwork, and the ability to communicate complex results clearly are valuable soft skills in this role. These abilities are essential for designing robust models, interpreting data accurately, and delivering actionable insights to interdisciplinary teams.

What are the most commonly searched types of Bayesian jobs in Washington, DC?

The most popular types of Bayesian jobs in Washington, DC are:

What are popular job titles related to Bayesian jobs in Washington, DC?

For Bayesian jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Bayesian jobs in Washington, DC look for?

The top searched job categories for Bayesian jobs in Washington, DC are:

Bayesian jobs near you
Infographic showing various Bayesian job openings in Washington, DC as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $171,786 per year, or $82.6 per hour.

Senior Computer Scientist (Top Secret Cleared)

Aitopics

Washington, DC • On-site

$80 - $110/hr

Other

Medical, Dental, Life, Retirement

Posted 6 days ago

Job description

Responsibilities
  • Evaluate COTS software
  • Evaluate open source software
  • Implement information processing projects
  • Improve performance, security, and functionality
Work Arrangement and Location

Hybrid work mode, Professional development opportunities, Mid-level position at Georgetown University, Main Campus: Walsh School.

Technologies and Tools
  • AWS Batch
  • Agile
  • AWS Athena
  • AWS Redshift
  • Apache Airflow
  • Adobe Analytics
  • Agentic AI
  • Anthropic Claude
  • Algorithms
  • Clustering
  • Component analysis
  • Data Structures
  • Deep learning
  • Dash
  • Data Mining
  • Data Modeling
  • Data Quality
  • Data Visualization
  • Electromagnetism
  • Mechanics
  • NumPy
  • Numerical Simulation
  • Pandas
  • Computational physics
  • C#
  • MATLAB
  • Computer Vision
  • Convolutional Neural Networks
  • Data Pipelines
  • Gradient boosting
  • Adaptive Sampling
  • Bayesian Inference
  • Bayesian Modeling
  • Code review
  • Distributed Computing
  • Cause analysis
  • Data Drift
  • Excel
  • Anomaly Detection
  • Big Data
  • Classification
Benefits
  • 401k retirement plan, 401k match
  • Dental insurance, Medical insurance, Health insurance
  • Long-term disability, Life insurance
  • Employee assistance program, Commuter benefits, Employee discount, Employee stock purchase plan, Flexible spending account, Health savings account
  • Company holidays, Paid national holidays, Floating paid holidays
  • Catered lunches, Free daily lunch, Summer party, Team collaboration
  • Professional growth opportunities, Career growth opportunities, Mentorship, Sponsorship
  • Learning culture, Work‑life balance, Casual dress code
  • Relocation assistance, Company equipment provided
Work Schedule
  • Flexible schedule, Hybrid work model, Flexible hours
  • Freelance projects, Part‑time work, Project based work, Freelance opportunities, Part‑time hours
  • Onsite work
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