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 CI polygraph is required.
Required skills
- • 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