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Sentar Inc. · 5 months ago

Data Scientist 3

Fort Meade, MD

Full-time

Onsite

Senior Level, Lead/Staff

10+ years exp

Sentar Inc. is an employee-owned company dedicated to developing critical talent for cybersecurity, intelligence, and analytics solutions. They are seeking a Data Scientist 3 who will leverage computer science expertise to develop and sustain analytics tools while effectively communicating complex technical information to diverse audiences.

AnalyticsCyber SecurityInformation ServicesInformation TechnologyIntelligent Systems

Growth Opportunities

No H1B

Security Clearance Required

Responsibilities

Employ must have some combination (2 or more) of the following skill areas: Foundations: Mathematical, Computational, Statistical

Data Processing: Data management and curation, data description and visualization, workflow and reproducibility

Modeling, Inference, and Prediction: Data modeling and assessment, domain-specific consideration

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

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

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

Effectively communicate complex technical information to non-technical audiences

Qualification

PythonMachine LearningStatistical AnalysisData ManagementData ModelingData VisualizationArtificial IntelligenceCommunication SkillsTeam Collaboration

Required

Proficient in Python, GM, and the customer toolset

Employ must have some combination (2 or more) of the following skill areas: Foundations: Mathematical, Computational, Statistical

Data Processing: Data management and curation, data description and visualization, workflow and reproducibility

Modeling, Inference, and Prediction: Data modeling and assessment, domain-specific consideration

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

Effectively communicate complex technical information to non-technical audiences

Clearance Level: TS/SCI with active poly

Bachelor's Degree with 10 years of relevant experience, Associates degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position

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)

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 science, advanced analytical algorithms, programming (skill in at least one 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