Data Scientist II

at  Knowesis

Position: Data Scientist II – Insider Threats / Architecture Council
Location: Falls Church, Pentagon, Arlington, Alexandria
Work Environment: Hybrid
Clearance Required: Secret
Status: Contingent Upon Contract Award
Knowesis, a dynamic and forward-thinking company, is currently seeking an exceptional Data Scientist to join our team and provide invaluable support to the Chief Digital and Artificial Intelligence Office.
To be eligible for this position, candidates must have a Secret clearance and possess U.S. Citizenship without the need for sponsorship, both now and in the future. Applicants without proof of U.S. Citizenship will not be considered due to the position’s security clearance requirements.

REQUIRED QUALIFICATIONS:

• Bachelor’s degree in computer science or related technical field plus 4 years experience, or master’s degree in computer science with 2 years experience
• Experience with data science techniques, classical machine learning, and deep learning for anomaly detection.
• Experience with Jupyter, Spark, and either Tensorflow or PyTorch.
• Previous relevant technical leadership experience.
• Exemplary technical writing skills.
• Prior experience in insider threat detection, fraud detection, or anti-abuse engineering is preferred.
• A traditional background in cybersecurity is not required.

REQUIRED EDUCATION:

• Bachelor’s degree in computer science or related technical field plus 4 years’ experience, or master’s degree in computer science with 2 years’ experience
  Knowesis is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

• Support development of insider threat strategy in support of protecting CDAO technical offerings; balance short-term wins with long-term investments to progressively mature CDAO’s defenses against insider threats.
• Lead coordination of policy and strategy related to insider threats with industry partners and other DoD components.
• Lead exploration of data sources that are relevant to measuring, identifying, and defending against insider threats.
• Provide technical leadership in developing capabilities to detect insider threats among large user communities, leveraging a combination of statistical, classical machine learning, and deep learning methods.
• Write documentation about CDAO’s strategic approach to insider threat defense and how it fits within the broader DoD insider threat ecosystem.