Data Scientist - Experienced to Expert Level (Maryland)
About the role
The National Security Agency (NSA) seeks experienced Data Scientists to join mission teams. Positions are available in the Pay Plan GG, Grade 13/1 to 15/10.
Responsibilities
- 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
- Degrees in Mathematics, Applied Mathematics, Statistics, Applied 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 require a Data Science certificate from an accredited college/university, and must 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
- 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
- Proficient with critical thinking and reasoning to make analytic determinations
- Effective at working 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
- Programming
- Formal or informal leadership
- 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
Salary offers are based on candidates' education level and years of experience relevant to the position. Benefits include a comprehensive package, and work schedule is Monday - Friday, 8-hour days between 6:00 a.m. and 6:00 p.m. (flexible).
Application Instructions
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. Populate the resume tool to showcase relevant work experience and education, and answer 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 spam filters accept emails from noreply@intelligencecareers.gov, @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.