Data Science Intern: System Performance Analytics

Johns Hopkins Applied Physics Lab; Laurel (MD); On-site; USD 64,758,000 - 137,396,000; Full time

Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) seeks a data scientist intern to leverage computational and analytical skills supporting multi-disciplinary teams on innovations for defense and national security applications. You will join engineers, software developers, data scientists, and analysts advancing performance evaluation of strategic weapons systems.

You’ll contribute to data collection, processing, and analysis to assess system performance, build models, and simulate

Qualifications

• Pursuing a degree in Data Science, Statistics, Mathematics, Computer Science or related field.
• Have experience with Python and/or R.
• Have experience with developing extract, transfer, load processes for data quality pipelines, data science applications and dashboard tools, or statistical and machine learning methodologies for analysis.
• Eligible for Interim Secret level security clearance with potential final Secret clearance; U.S. citizenship required.
• GPA 3.0 on a 4.0 scale.

Responsibilities

• Work with multi-disciplinary teams to develop data collection, processing, and analysis efforts to assess the performance of systems supporting the Navy and Air Force.
• Develop build models and simulations to describe data, predict events, and prescribe actions reflecting stakeholder needs across domains.

Skills

Python

R

SQL

TensorFlow

Scikit-learn

NumPy

PyTorch

Matplotlib

Education

Pursuing degree in Data Science/Statistics/Math/CS

Bachelor's in Data Science/Statistics/Math/CS

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) seeks a data scientist intern to leverage computational and analytical skills supporting multi-disciplinary teams on innovations for defense and national security applications. You will join engineers, software developers, data scientists, and analysts advancing performance evaluation of strategic weapons systems.

You’ll contribute to data collection, processing, and analysis to assess system performance, build models, and simulate