Data Scientist – AI​/Machine Learning

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 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

• Active TS/SCI W/ Polygraph
• 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
• 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