What You'll Be Doing:
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 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.
What Required Skills You'll Bring:
Bachelor's degree in relevant field and 8 years of experience. An advanced degree will be considered in lieu of years of experience
Proficient in Python
Experience with Docker and Kubernetes
Experience with end-to-end workflows and projects
Three or more years of Defensive Cyber Operations experience
Three or more years of Machine Learning techniques and statistical model evaluation
What Desired Skills You'll Bring:
Master's degree in relevant field and 4 years of experience
Demonstrated expertise 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, STIGs IAVA, and Big Data Platform (BDP)
Strong background and skills in Linux Ubuntu CentOS RHEL, Windows, and virtual environments
A problem solver who can get in, be given a project, and use engineering skills to determine a solution
Jupyter Notebooks, Network Analysis Tools
TS/SCI with polygraph is required.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 91091699
- Position Id: c54eb9c7643da19f3d56e3607b165abd
- Posted 4 hours ago
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