Oct 21, 2021

Data Scientist- Development Program - Entry to Mid-Level

  • National Security Agency
  • Fort Meade, MD, USA

Job Description

The NSA Story The National Security Agency (NSA) exists to obtain insight into foreign adversaries' plans and intentions and protect our U.S. cybersecurity interests. We provide national security insights and threat warnings to government decision-makers and eradicate cybersecurity threats. How You Can Contribute Are you ready to use your technical expertise to analyze large data sets to inform decision-makers against foreign threats? Data scientists at NSA tackle high priority, often lifesaving, foreign intelligence and cybsersecurity challenges by leveraging big data, high-performance computing, machine learning, and a breadth of other methodologies. We are looking for critical thinkers, problem solvers, and motivated individuals who are enthusiastic about data and use analysis skills to develop solutions to complex problems. The Data Science Development Program (DSDP) is a three-year opportunity to develop and enhance your data science skills for an NSA career. Participants experience the breadth of data science at NSA through six- to nine-month tours in a variety of diverse organizations, and collaborate with NSA's experts in the field of data science. DSDP participants will have the opportunity to attend technical conferences with experts from industry and academia; explore and share NSA's challenges and successes at weekly technical roundtables; and study data science in NSA-taught classes. NSA fosters an environment where participants will develop data science skills and contribute to NSA's highest priority mission challenges. As a Data Scientist within the Development Program responsibilities include: - Exploratory data analysis and exploratory model-fitting to reveal data features of interest - Machine-learned predictive modeling - Construct 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

NSA is in search of Computer Science professionals to solve complex problems, test innovative approaches and research new solutions to storing, manipulating, and presenting information. We are looking for you to apply your computer science expertise to projects that seek to create new standards for the transformation of information. If you want to develop technologies and tools and be a part of cutting edge innovations ' join our team of experts! Help protect national security interests as part of the world's most advanced team of computer science professionals!

Candidates for the NSA's Data Scientist roles are asked to complete a data science examination evaluating their knowledge of statistics, mathematics, and computer science topics that pertain to data science work. Passing this examination is a requirement in order to be considered for selection into a data scientist position. Salary Range: $73,076 - $91,057 (Entry/Developmental) *The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position. Entry is with a Bachelor's degree and no experience. An Associate's degree plus 2 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred. Salary Range: $84,529 - $113,362 (Full Performance) *The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position. Entry is with a Bachelor's degree plus 3 years of relevant experience or a Master's degree plus 1 year of relevant experience or a Doctoral degree and no experience. An Associate's degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, or software engineering.

The Ideal Candidate We're looking for someone who: - Practices strategic-thinking and reasoning to make analytic determinations - Employs mathematical science, computer science, and quantitative analysis skills to develop solutions to complex problems - Is enthusiastic about complicated data sets - Doesn't mind taking time to get the details right - Enjoys teamwork and collaboration - Is curious to learn about unfamiliar topics - Has completed a degree program in the fields of mathematics, statistics, computer science, computational sciences and has a passion for rigorous analysis of data - Possesses strong communication skills

On the job training, internal NSA courses, and external training will be made available based on the need and experience of the selectee. Monday - Friday, with basic 8 hr/day requirements between 0800 to 1800 (flexible)