Data Scientist - TS/SCI

Responsibilities

• Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, 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 with 2+ years of experience; or Master’s degree or equivalent graduate degree including certificate-based advanced training courses with less than 2 years of experience.
• Active TS and ability to obtain a TS/SCI with Polygraph.
• Experience in data science, analytics or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes.
• Proficiency in one or more scripting languages such as Python.
• Deployment of data science applications (e.g. Streamlit) using Docker, Kubernetes, and/or OpenShift.
• Experience with information retrieval and search, e.g. Elastic Stack (Elasticsearch and Kibana) and/or Structured Query Language (SQL).
• 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 Data Science or Research in data analytics or big data, i.e. data that won’t fit in memory. Track record of active learning and creative problem solving.
• Able to analyze and assess software development or data acquisition requirements and determine optimum, cost-effective solutions.
• Familiarity using git or other version control technologies.

Qualifications

• A significant share of your data analytics experience in direct support of 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: forensic media (i.e. DOMEX); open source, publicly available information (PAI); measurement and signatures intelligence (MASINT); or cybersecurity and cyber forensics.
• Experience with Knowledge Graphs and KG tech such as neo4j or graph ML.
• Experience developing predictive algorithms, image classifiers, object detectors, and others.
• Familiarity with 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.
• Experience with an on-prem, air gapped environment and/or Amazon Web Services (AWS/C2S).
• Familiarity with hardware platforms, e.g., CPUs, GPUs, FPGAs, etc.