Location: Fort Meade
flow and reproducibility) Modeling, Inference, and Prediction: (Data modeling and backssment, domain-specific considerations). Responsibilities may include: Devise strategies for extracting meaning and value from large datasets Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and applications Analytic modeling, statistical analysis and programming Develop and implement qualitative and quantitative methods for characterizing, exploring, and backssing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer data holdings.
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practical mission needs and analytic questions related to large datasets into technical requirements and assist with drawing conclusions from data analysis Communicate complex technical information to non-technical audiences Recommend technical solutions by maintaining awareness of the constantly-shifting customer collection, processing, storage and analytic capabilities and limitations Qualifications Basic Qualifications: An Associate's degree with 10 years of relevant experience OR a Bachelor's Degree with 12 years of relevant experience Degree in Math, Applied Math, Statistics, Applied Statistics, MAchine Language, Data Science, Operations Research, or Computer Science.
A degree in
a related field (e. g. Computer Info Sys, Engineering, in the physical/hard sciences, or other science disciplines with a substantial computational component (typically 5 or more courses in advanced mathematics and/or CS (e.
g. algorithms, programming, data structures, data mining, AI). Other degrees may be considered if accompanied by a Certificate in Data Scientist. Relevant experience is considered: Designing/implementing Machine Language (ML) Data Science (DS) advanced analytical algorithms data mining, advanced statistical analysis (e. g. statistical foundations of ML, statistical approaches to missing data, time series), advanced mathematical foundations ( e.
g. numerical methods, graph theory) AI, workflow and reproducibility, data management and curation, data modeling and backssment (e. g. model selection, evaluation, and sensitivity analysis) Experience with programming languages (such as Python or C) Experience as a Data Scientist (DS) or Software Engineer (SWE) Active TS SCI security clearance with a current polygraph is required Peraton offers enhanced benefits to employees working on this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap and participation in an attractive bonus plan.
#MPOJobs #AJCM Peraton Overview Peraton drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted and highly differentiated national security solutions and technologies that keep people safe and secure. Peraton serves as a valued partner to essential government agencies across the intelligence, space, cyber, defense, civilian, health, and state and local markets.
Every day, our employees do the can't be done, solving the most daunting challenges facing our customers. Target Salary Range $146,000 - $234,000. This represents the typical salary range for this position based on experience and other factors. EEO An Equal Opportunity Employer including Disability/Veteran. All For more details: jobs-search. org/technology_fort-meade-c433937/data-scientist-senior-security-clearance-required-fort-meade_i1971321954
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