Data Scientist, Principal (DCO) Senior

Gormat • Annapolis Junction, MD

1d

About The Position

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.

Requirements

• 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
• TS/SCI with polygraph is required.

Nice To Haves

• 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

Responsibilities

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed