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
The qualifications listed are the minimum acceptable to be considered for the position. Applicants must pass the Data Science Examination (DSE) to be considered for selection into a data scientist position. Passing the examination is a requirement.
Experience
- Programming and one or more of the following: designing/implementing machine learning, data mining, statistical analysis, statistical consulting, artificial intelligence development, computational science, software engineering, technical writing, data visualization, or data engineering
- Formal or informal leadership experience
Competencies
- A desire for continual learning
- Excellent analytical, problem-solving, communication (oral and written), and interpersonal skills
- Accountability
- Proactivity
- Detail orientation
- Able to solve complex problems
- Proficiency with critical thinking and reasoning to make analytic determinations
- Effectiveness in a collaborative team environment
- Able to bridge the gap with both technical and non-technical audiences
- Able to provide technical leadership in formal or informal roles
Knowledge, Skills, and Relevant Experience
- Designing and implementing machine learning
- Data mining
- Statistical analysis
- Statistical consulting
- Artificial Intelligence development
- Computational science
- Software engineering
- Technical writing
- Data visualization
- Data engineering
Pay, Benefits, & Work Schedule
Pay: Salary offers are based on candidates' education level and years of experience relevant to the position. Salary Range: $132,751 - $197,200 (Senior, Expert). Training will be provided based on the selectee's needs and experience.
Benefits
NSA offers a comprehensive benefits package, including training and development opportunities.
Work Schedule
This is a full-time position, Monday - Friday, with a basic 8-hour/day work requirement between 6:00 a.m. and 6:00 p.m. (flexible).
DCIPS Trial Period
If selected for this position, you will be required to serve a two-year DCIPS trial period, unless you are a veterans' preference-eligible employee, in which case you are required to serve a one-year trial period. This trial period runs concurrently with your commitment to the position, if applicable.