- Foundations: (Mathematical, Computational, Statistical)
- Data Processing: (Data management and curation, data description and visualization, work flow and reproducibility)
- Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations).
- 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 assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer data holdings.
- Translate 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
- An Associate's degree with 5 years of relevant experience OR a Bachelor's Degree with 3 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)
- 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
-
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Data Scientist, Senior Associate - Fort Meade, United States - Peraton
Description
ResponsibilitiesPeraton is seeking Data Scientist to support an Intel Community (IC) mission in Ft.Meade/Annapolis Junction, MD area. Data Scientists employ some combination (2 or more) of the following skill areas:
Basic Qualifications:
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Peraton Overview
Peraton is a next-generation national security company that 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, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit to learn how we're keeping people around the world safe and secure.
Target Salary Range
$86,000 - $138,000. This represents the typical salary range for this position based on experience and other factors.
EEO
An Equal Opportunity Employer including Disability/Veteran.All
