Data Science Intern: Build Models for National Security

The Johns Hopkins University Applied Physics Laboratory; Laurel (MD); On-site; USD 31,000 - 66,000; Full time

Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) invites a data science intern to join our multidisciplinary team in Laurel, MD. You will analyze data, build models and support performance evaluation across defense-related systems while collaborating with engineers, software developers, and analysts.

Ideal candidates are pursuing degrees in Data Science, Statistics, Mathematics, or Computer Science, with experience in Python or R, SQL basics, and a drive to apply analytical methods

Qualifications

• Pursuing a degree in Data Science, Statistics, Mathematics, Computer Science or related field.
• Experience with Python and/or R.
• Experience with data quality pipelines, ETL, or ML methodologies is a plus.
• Eligible for Interim Secret security clearance; U.S. citizenship required; GPA 3.0+.

Responsibilities

• Work with multi-disciplinary teams to develop data collection, processing, and analysis efforts.
• Develop models and simulations to describe data, predict events, and prescribe actions.

Skills

Python

R

SQL basics

Data analysis

Education

Pursuing degree in Data Science/Statistics/Mathematics/CS

Tools

TensorFlow

Sci-kit learn

NumPy

Matplotlib

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) invites a data science intern to join our multidisciplinary team in Laurel, MD. You will analyze data, build models and support performance evaluation across defense-related systems while collaborating with engineers, software developers, and analysts.

Ideal candidates are pursuing degrees in Data Science, Statistics, Mathematics, or Computer Science, with experience in Python or R, SQL basics, and a drive to apply analytical methods