PhD Data Scientist — Defense Statistics & Uncertainty

Johns Hopkins Applied Physics Laboratory; Laurel (MD); On-site; USD 105,000 - 245,000; Full time

Benefits offered by this job

Retirement plans

Medical, dental, vision insurance

Education assistance

Training and development

Job summary

Johns Hopkins Applied Physics Laboratory in Laurel, Maryland, is looking for a recent PhD graduate in Statistics, Physics, Mathematics, or Computer Science. The role involves working with multi-disciplinary teams to assess performance systems for national defense, developing statistical models, and communicating insights to decision-makers.

The ideal candidate should have a strong foundation in statistical methods and be skilled in programming languages like Python or R. A comprehensive benefits package is provided, with salaries ranging from $105,000 to $245,000 annually.

Qualifications

• PhD in Data Science, Statistics, Physics, Mathematics, Computer Science, or related field.
• Strong foundations in statistical inference, probability, statistical modeling, and experimental design.
• Experience using Python, R, or similar languages for quantitative analysis.

Responsibilities

• Work with multi-disciplinary teams on data collection, processing, and analysis.
• Develop and evaluate statistical models for defense applications.
• Communicate technical knowledge clearly to various stakeholders.

Skills

Statistical inference

Statistical modeling

Python

R

Experimental design

Bayesian methods

Project management

Education

PhD in Data Science

PhD in Statistics

PhD in Physics

PhD in Mathematics

PhD in Computer Science

Tools

Stan

PyMC

Job description

Johns Hopkins Applied Physics Laboratory in Laurel, Maryland, is looking for a recent PhD graduate in Statistics, Physics, Mathematics, or Computer Science. The role involves working with multi-disciplinary teams to assess performance systems for national defense, developing statistical models, and communicating insights to decision-makers.

The ideal candidate should have a strong foundation in statistical methods and be skilled in programming languages like Python or R. A comprehensive benefits package is provided, with salaries ranging from $105,000 to $245,000 annually.