Data Scientist - Experienced to Expert Level (Maryland)

Responsibilities

Data science at the National Security Agency (NSA) involves using mathematics, statistics, computer science, and domain-specific knowledge to analyze and interpret data. It includes roles such as AI Engineering, Data Engineering, ML Ops Engineering, and Human Perception and Cognition Engineering, all aimed at solving complex data problems.

Responsibilities may include:

• Exploring data analysis and model-fitting to reveal data features of interest
• Using machine-learned predictive modeling
• Constructing usable data sets from multiple sources to meet customer needs
• Identifying and analyzing anomalous data (including metadata)
• Developing conceptual design and models to address mission requirements
• Developing qualitative and quantitative methods for characterizing datasets in various states
• Performing analytic modeling, scripting, and/or programming
• Working collaboratively and iteratively throughout the data-science lifecycle
• Designing and developing analytics and techniques for analysis
• Analyzing data using mathematical and statistical methods
• Evaluating, documenting, and communicating research processes, analyses, and results to customers, peers, and leadership
• Creating interpretable visualizations

Qualifications

• Minimum qualifications include a combination of education and experience as outlined in the job summary.
• Passing the Data Science Examination (DSE) is a requirement.
• Applicants must submit transcripts and a resume as part of their application.

Skills

• Programming skills
• Machine learning
• Data mining
• Statistical analysis
• Artificial Intelligence development
• Data visualization
• Data engineering
• Technical writing

Benefits

• Comprehensive benefits package
• Flexible work schedule (Monday - Friday, 6:00 a.m. - 6:00 p.m.)

Pay

• Salary range: $132,751 - $197,200 (Senior, Expert)
• Salary varies by location, work level, and relevant experience to the position.