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Parsons Corporation•Fort Meade, MD

About The Position

Parsons is seeking an experienced Data Scientist to provide embedded Defensive Cyber operations support, capability integration, and rapid prototyping in support of USCYBERCOM. In this role you will be responsible for collaborating with headquarters and local customers to develop analytic capabilities. You’ll be a critical member on a small team, responsible for bringing your high-level software engineering skills to bear on a critical national security mission.

Requirements

Active TS/SCI w/ polygraph required for consideration
Bachelor's degree in relevant field and 8 years of experience; an advanced degree will be considered in lieu of years of experience.
3+ years of Defensive Cyber Operations experience.
3+ years of Machine Learning techniques and statistical model evaluation.

Nice To Haves

Master's degree in relevant field and 4 years of experience.
Demonstrated proficiency with R or Python, and SQL to manipulate data and draw insights from large and small data sets
Exposure to AWS (Amazon Web Services), Cisco (CCNA), and/or STIGs/IAVA, Big Data Platform (BDP)
Strong background and skills in Linux (Ubuntu, CentOS, RHEL)/Windows/Virtual environments
A problem solver who can get in, be given a project, and use engineering skills to determine a solution
Python, Jupyter Notebooks, Network Analysis Tools

Responsibilities

Perform/utilize statistics, machine learning and analytic approaches to answer key intelligence questions, producing results and re-usable products that provide real value to Intelligence Analysts.
Apply machine learning techniques to identify and transform data features, find hidden patterns and trends, build and optimize classifiers, create automated anomaly detection systems, and automate steps of a process.
Evaluate statistical models to determine the validity of analyses, implement evaluated models into production by collaborating with software developers, periodically re-evaluate and refine machine learning models being used in production.
Curate and collect the data from a variety of traditional and non-traditional sources: extract data from sources, transform and integrate data in line with existing data, and load data into data stores for access by others.
Collaborate with Data Scientists to develop processes and tools to monitor and analyze model performance and data accuracy.
Work with analysts to interpret analytic results and refine analysis as needed.
Effectively communicate results and ideas to key decision makers, analysts and other stakeholders and shall provide information as appropriate.
Perform documentation of all processes, models and activities by developing, documents, and implement a configuration management plan for data sets.
Research latest data science tradecraft and technology.