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USAJOBS · 2 months ago

Data Scientist Development Program (DSDP) - Entry to Mid Level (Maryland)

Fort Meade, Maryland, USA

Full-time

Onsite

New Grad, Entry, Mid Level

$86K/yr - $152K/yr

0+ years exp

USAJOBS is seeking candidates for the Data Scientist Development Program (DSDP) at the National Security Agency. This program offers newly hired Data Scientists the opportunity to broaden and specialize their skills while collaborating with experts on critical mission challenges.

ConsultingGovernmentHuman ResourcesInformation TechnologyInternetStaffing Agency

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Exploratory data analysis and exploratory model-fitting to reveal data features of interest

Machine-learned predictive modeling

Identifying and analyzing anomalous data (including metadata)

Lead or contribute to cross-functional teams to develop and implement Al (including generative AI) that can help solve some of our most challenging problems

Apply modern engineering techniques to develop decision support software prototypes

Propose and execute novel, cutting-edge research in Al-enhanced decision systems

Designing and developing analytics and techniques for analysis

Analyzing data using mathematical and statistical methods

Implement ML pipeline and workflows

Leverage skills in modern data architecture, cloud engineering, data transformation, and management of structured and unstructured data sources

Build continuous integration and delivery pipelines for ML applications

Construct usable data sets from multiple sources to meet customer needs

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

Communicate with a team of data scientists, data engineers, AI engineers, ML-Ops engineers, and stakeholders

Evaluating, documenting, and communicating research processes, analyses, and results to customers, peers, and leadership

Creating interpretable visualizations

Work with mission owners to design, develop, and deploy new architectures for ML and automation applications such as ELT functions, HPC/compute infrastructure, AWS/Azure solutions, database solutions, and optimization of DevOps procedures

Qualification

Machine LearningData ScienceStatistical AnalysisProgrammingArtificial IntelligenceData EngineeringComputational ScienceCritical ThinkingProblem SolvingCommunication SkillsTeam Collaboration

Required

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, library, 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, linear algebra, and calculus based statistics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence)

Relevant experience must be in one or more (two or more for Full Performance consideration) of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, computational science, software engineering, or data engineering

ENTRY/DEVELOPMENTAL 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

FULL PERFORMANCE 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

Employment is contingent upon successful completion of a security background investigation and polygraph

Applicants who meet minimum qualifications may be asked to complete the Data Science Examination (DSE) 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