Overview Possesses and applies a comprehensive knowledge across key tasks and high impact assignments. Plans and leads major technology assignments. Evaluates performance results and recommends major changes affecting short-term project growth and success. Functions as a technical expert across multiple project assignments. May supervise others. What You'll Be Doing: - Perform statistics, machine learning, and analytic approaches to answer key intelligence questions, producing results and reusable 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, and 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 provide information as appropriate. - Perform documentation of all processes, models, and activities by developing, documenting, and implementing a configuration management plan for data sets. - Research latest data science tradecraft and technology. What Required Skills You'll Bring: - 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: - 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, 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 Qualifications -Degree from an accredited college or university in System Engineering or related discipline and one of the following: 10 or more years of experience with a Master's degree 12 or more years of experience with a Bachelor's degree 16 or more years of experience with an Associate's Degree or High School Diploma TS/SCI with CI polygraph is required.
Required skills
- 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