1

Mid Level Bayesian Statistics Jobs in Silver Spring, MD

Bachelor's degree in Computer Science, Mathematics, Statistics, Information Systems, or a related field. * Minimum of five (5) years of hands-on development experience using the Microsoft Power ...

Bachelor's degree in Computer Science, Mathematics, Statistics, Information Systems, or a related field. * Minimum of five (5) years of hands-on development experience using the Microsoft Power ...

Showing results 21-40

Mid Level Bayesian Statistics information

What is the difference between Mid Level Bayesian Statistics vs Data Scientist?

AspectMid Level Bayesian StatisticsData Scientist
Required CredentialsMaster's or PhD in Statistics, Mathematics, or related fieldBachelor's or higher in Data Science, Computer Science, or related field
Work EnvironmentResearch-focused, analytical, often in finance, healthcare, or academiaCross-functional teams, data analysis, machine learning, business insights
Industry UsageStatistical modeling, probabilistic analysis, research projectsData analysis, predictive modeling, data visualization

Mid Level Bayesian Statistics specialists focus on advanced probabilistic modeling and statistical inference, often in research or specialized industries. Data Scientists have a broader scope, combining statistical analysis with programming and machine learning to solve business problems. While both roles require strong analytical skills, Bayesian statisticians typically emphasize probabilistic models, whereas Data Scientists integrate multiple techniques for data-driven decision-making.

What are popular job titles related to Mid Level Bayesian Statistics jobs in Silver Spring, MD?

For Mid Level Bayesian Statistics jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Mid Level Bayesian Statistics jobs in Silver Spring, MD look for?

The top searched job categories for Mid Level Bayesian Statistics jobs in Silver Spring, MD are:

Senior Computer Scientist (Top Secret Cleared)

Aitopics

Washington, DC • On-site

$80 - $110/hr

Other

Medical, Dental, Life, Retirement

Posted 4 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
#J-18808-Ljbffr