36 applicants

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Company

Original Job Post

SAIC · 2 days ago

Data Scientist

Fort Meade, MD

Full-time

Onsite

Senior Level

10+ years exp

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Information TechnologySecurity

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Work & Life Balance

Hiring Manager

Bethany Benker, PRC

Insider Connection @SAIC

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Responsibilities

Design and implement machine learning, data science, and advanced analytical algorithms.

Utilize programming skills in at least one high-level language, such as Python.

Perform statistical analysis including variability, sampling error, inference, hypothesis testing, and exploratory data analysis.

Manage data by cleaning and transforming it, as well as conducting data mining and modeling.

Apply artificial intelligence and software engineering principles to data sets.

Qualification

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TS/SCI with PolygraphAnalytic ModelingStatistical AnalysisProgrammingQualitative MethodsQuantitative MethodsData InterpretationAgency Tools KnowledgeMachine LearningData ScienceAlgorithmsPythonData ManagementData CleaningData TransformationData MiningData ModelingArtificial IntelligenceSoftware EngineeringCritical ThinkingCollaborationExperience in multiple areas

Required

Active TS/SCI with polygraph

Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in National Agency data holdings

Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge

Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data

Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting National Agency collection, processing, storage, and analytic capability and limitations

Knowledge of agency specific tools and methodologies

Strong critical thinking and collaboration skills

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language ( e.g. Python), statistical analysis ( e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management ( e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering

Bachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence)

Degree and minimum years of relevant work experience as follows

AA and 12 years of experience or,

BA/BS and 10 years of experience or,

Military or applicable government work experience in lieu of technical degree