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. Key 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 designs 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. Degrees in Mathematics, Applied Mathematics, Statistics, Data Science, Computer Science, or related fields qualify without additional coursework or a Data Science certificate. Degrees in Engineering, Physical Sciences, or other fields require a Data Science certificate and specific coursework. Experience must include programming and one or more of the following: machine learning, data mining, statistical analysis, artificial intelligence development, software engineering, technical writing, data visualization, or data engineering. Formal or informal leadership experience is required.

Competencies

The ideal candidate possesses a desire for continuous learning, excellent analytical and problem-solving skills, strong communication abilities, and the ability to work effectively in a collaborative team environment. They must be proficient in critical thinking and reasoning, able to bridge gaps with both technical and non-technical audiences, and capable of providing technical leadership.

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). Benefits: NSA offers a comprehensive benefits package. Work Schedule: Full-time, Monday - Friday, flexible hours between 6:00 a.m. and 6:00 p.m.

Application Information

Apply soonest as job postings can close earlier than stated end dates. Review and note the minimum qualifications as only those applicants who meet the required qualifications will be contacted to continue the employment process. Please populate the resume tool to showcase relevant work experience and education, and answer any applicable screening questions. Information collected will be used to determine eligibility, and failure to provide accurate information may result in disqualification. A confirmation email will be sent after submission of the first application and after any future updates to submitted applications. Due to time-sensitive communications, ensure your spam filters are configured to accept emails from noreply@intelligencecareers.gov. For job vacancies including stated testing requirements, also include @uwe.nsa.gov, @nsa.gov, and @pearson.com. U.S. Citizenship is required for all applicants. NSA is an equal opportunity employer and abides by applicable employment laws and regulations. All applicants and employees are subject to random drug testing in accordance with Executive Order 12564. Employment is contingent upon successful completion of a security background investigation and polygraph.