Graduate Data Scientist – Defense Analytics & Modeling

The Johns Hopkins University Applied Physics Laboratory; Laurel (MD); On-site; USD 85,000 - 165,000; Full time

Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) in Laurel, MD, is seeking a data scientist to leverage computational and analytical skills across multi-disciplinary teams. You will support defense and national security applications by creating analysis methods and building data-driven solutions.

Join a team of engineers, software developers, data scientists, and analysts committed to advancing performance evaluation of national security systems.

Qualifications

• Bachelor's in Data Science, Statistics, Mathematics, Computer Science or related field.
• Experience with Python and/or R.
• Experience with ETL data pipelines, data science apps and dashboard tools.
• U.S. citizenship and eligibility for Interim Secret/Top Secret clearance.

Responsibilities

• Develop data collection, processing, and analysis to assess system performance for Navy/Air Force.
• Build models and simulations to describe data, predict events, and prescribe actions.

Skills

Python

R

Data quality pipelines

ETL processes

Dashboard tools

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science or related field

Master's degree in Data Science, Statistics, Mathematics, or Computer Science or related field

Tools

TensorFlow

scikit-learn

NumPy

PyTorch

Matplotlib

SQL

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) in Laurel, MD, is seeking a data scientist to leverage computational and analytical skills across multi-disciplinary teams. You will support defense and national security applications by creating analysis methods and building data-driven solutions.

Join a team of engineers, software developers, data scientists, and analysts committed to advancing performance evaluation of national security systems.