Graduate Data Scientist: System Performance Evaluation

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

Job summary

Johns Hopkins Applied Physics Laboratory (APL) in Laurel, MD seeks a Data Scientist to join multi-disciplinary teams to develop data collection, processing, and analysis efforts to assess performance of defense systems. You will leverage your computational and analytical skills to create analysis approaches for national security applications.

The role requires a Bachelor's or Master's in data science, statistics, math or CS, experience with Python and/or R, and building ETL/data pipelines and

Qualifications

• Bachelor's in data science, statistics, mathematics, CS or related field.
• Experience with Python and/or R.
• Experience developing ETL data pipelines, data science applications, dashboards, and ML methodologies.
• Eligibility for Interim Secret security clearance with potential Top Secret; U.S. citizenship required.

Responsibilities

• Work with multi-disciplinary teams to develop data collection, processing, and analysis efforts for defense systems.
• Develop models and simulations to describe data, predict events, and prescribe actions based on stakeholder needs.

Skills

Python

R

SQL

TensorFlow

Scikit-learn

NumPy

PyTorch

Matplotlib

Education

Bachelor's in Data Science/Statistics/Mathematics/CS or related field

Master's in Data Science/Statistics/Mathematics/CS or related field

Tools

Dashboard tools

Job description

Johns Hopkins Applied Physics Laboratory (APL) in Laurel, MD seeks a Data Scientist to join multi-disciplinary teams to develop data collection, processing, and analysis efforts to assess performance of defense systems. You will leverage your computational and analytical skills to create analysis approaches for national security applications.

The role requires a Bachelor's or Master's in data science, statistics, math or CS, experience with Python and/or R, and building ETL/data pipelines and