AI Scientist - TS/SCI

AI Scientist

Location: Bethesda, MD (Hybrid Remote)

Security Clearance: active TS/SCI clearance and must be able to obtain and maintain TS/SCI with CI Polygraph

Our Client is seeking an AI Scientist who enjoys conducting research-level AI/ML data analytics. We are looking for individuals interested in contributing to the resolution of critical national security challenges through AI, reverse engineering, and advanced digital forensics. Join us in supporting a major program aimed at advancing the state of the art in mission-focused big data analytics and forensics. In this role, you will deliver cutting-edge data science capabilities to further national security objectives, swiftly analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights. While most of the work is conducted on-site at our client's location in Bethesda, MD, we offer a flexible schedule, and occasionally, some tasks may be performed remotely. The percentage of remote work will vary based on client requirements and deliverables. Join our award-winning organization and collaborate with some of the most talented and brightest minds in the GOVCon industry.

Responsibilities:

Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, digital forensic experts, network engineers, senior investigators, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.

Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more.

Support multiple simultaneous projects and take open-ended or high-level guidance, independently and collaboratively make discoveries that are mission-relevant, and package and deliver the findings to a non-technical audience.

Bring your mix of intellectual curiosity, quantitative acumen, and customer-focus to identify novel sources of data across a range of fields, to improve the performance of predictive algorithms, and to encourage user adoption of high-end data analytics platforms in partnership with a highly qualified, highly motivated team.

Leverage your strong background in research design, exploratory analysis, quantitative methods, user interface application design, and experience with customer outreach and engagement. Requirements:

B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or Master’s degree or equivalent graduate degree including certificate-based advanced training courses

6+ years of experience in data science, analytics or quantitative intelligence analysis/digital forensics, and demonstrating progressive technical development and outcomes.

US Citizenship required

Must have an active TS/SCI clearance and must be able to achieve a TS/SCI with CI Polygraph clearance

Proficiency in one or more scripting languages such as R or Python

Experience in reverse engineering and advanced digital forensics

Experience working with a hybrid team of analyst, engineers, and developers to conduct research, and build and deploy complex, but easy-to-use algorithms and analytical platforms

Previous experience performing Research in data analytics or big data;

Track record of active learning and creative problem solving

Ability to analyze and assess software development or data acquisition requirements and determine optimum, cost-effective solutions.

Preferred Qualifications:

Data analytics experience in direct support if military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes;

Significant experience dealing with at least two of the following data classes: open source, publicly available information (PAI); forensic media (i.e. DOMEX); measurement and signatures intelligence (MASINT).

Significant experience with Knowledge Graphs and KG tech such as neo4j

Previous experience developing predictive algorithms

Social network analysis, supply chain analysis, forensic accounting, pattern of life, natural language processing, social media analysis, classification algorithms, and/or image processing;

Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in an unconventional manner;

Familiarity utilizing virtualization and distributed field systems, such as Hadoop (or similar distributed file systems) in development and deployment environments;

Familiarity using git, svn, JIRA, or other version control technologies;

Experience with Amazon Web Services (AWS/C2S);

Familiarity with hardware platforms, e.g., CPUs, GPUs, FPGAs, etc.