Graduate Data Scientist — Systems Performance Analytics

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 in Laurel, MD is seeking a data scientist to help analyze data for defense and national security applications. You will collaborate with engineers, software developers, and analysts to build data pipelines, models, and dashboards that support performance assessment across lifecycle stages.

Applicants should have a Bachelor's in a relevant field, experience with Python or R, and familiarity with ETL, ML methods, and SQL.

Qualifications

• Bachelor's in Data Science, Statistics, Mathematics, Computer Science or related field.
• Experience with Python and/or R.
• Experience in ETL, data quality pipelines, dashboards, and ML methodologies.

Responsibilities

• Collaborate with multi-disciplinary teams to develop data collection, processing, and analysis for system performance.
• Develop models and simulations to describe data, predict events, and guide action based on stakeholder needs.

Skills

Python

R

SQL

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

Sci-kit learn

NumPy

PyTorch

Matplotlib

Job description

The Johns Hopkins University Applied Physics Laboratory in Laurel, MD is seeking a data scientist to help analyze data for defense and national security applications. You will collaborate with engineers, software developers, and analysts to build data pipelines, models, and dashboards that support performance assessment across lifecycle stages.

Applicants should have a Bachelor's in a relevant field, experience with Python or R, and familiarity with ETL, ML methods, and SQL.