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 AI Engineering, Data Engineering, ML Ops Engineering, and Human Perception and Cognition Engineering alongside traditional data science applications.

The role requires exploring data analysis and model fitting, using machine-learned predictive modeling, constructing usable data sets, identifying and analyzing anomalies, and developing analytics and techniques for various mission requirements.

• Exploring data analysis and model-fitting to reveal data features of interest
• Using the 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. Unofficial transcripts are required as part of the online application.

• Degrees in Mathematics, Applied Mathematics, Statistics, Data Science, Operations Research, Quantitative/Computational Finance, Econometrics/Quantitative Economics, Computer Science, or Computer Engineering qualify without additional coursework or a Data Science certificate.
• Engineering, Physical Sciences, Mathematical Biology/Bioinformatics, Life Sciences, Environmental Science, Data Analytics, or Information Science/Systems/Technology degrees require a Data Science certificate from an accredited college/university or 5 or more courses in advanced mathematics and/or advanced computer science.
• Other degrees must be accompanied by a Data Science certificate from an accredited college/university, and include a total of 5 or more courses in advanced mathematics and advanced computer science.
• Experience must include both 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.
• Experience must also include formal or informal leadership.

Competencies

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

• Desire for continual learning
• Excellent analytical and problem-solving skills
• Strong communication abilities (oral and written)
• Able to bridge the gap with both technical and non-technical audiences
• Able to provide 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: 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).

Application Information

Apply soonest, as job postings can close earlier than stated end dates due to changes in requirements. 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 any relevant work experience and education related to the position and answer any applicable screening questions. Information collected will be used to determine eligibility, and failure to provide accurate information may result in disqualification for this position. A confirmation email will be sent after submission of the first application and also after any future updates to submitted applications.