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Synergy ECP is a leading provider of cybersecurity, software and systems engineering and IT services to the U.S. intelligence and defense communities. The company leverages its expertise in data transport solutions, software and systems engineering, and other solutions to deliver critical and innovative capabilities to high-level decision makers that enhance our nation’s security.
Job Responsibility:
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 application specific knowledge
Through 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 features and limitations inherent to NSA/CSS 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
Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting NSA/CSS collection, processing, storage and analytic capabilities and limitations
Requirements:
Relevant experience 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
Experience in more than one area is strongly preferred
Employ some combination (2 or more) of the following 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 considerations)
A Bachelor’s degree and 3 years of relevant 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
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 with a substantial computational component may be considered if it includes a concentration of coursework in advanced mathematics and/or computer science
TS/SCI w/ Polygraph clearance required
U.S. Citizenship
What we offer:
Highly competitive compensation
Comprehensive Health Benefits package
401K Retirement plan
People Partners to help navigate both personal and professional worlds
Strong wellness related resources
Company-sponsored continuing education program
Generous Paid Time Off
11 paid holidays a year
Flexible work options
Participation in philanthropy and volunteer programs
Great corporate facilities including weekly happy hour, café, collaborative office space