Data Scientist

Job Description

Base-2 Solutions is seeking a TS/SCI cleared Data scientist who likes to perform research-level data science/analytics to come support a major program advancing the state of the art in mission-focused big data and predictive analytics. You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights. While most work is conducted on-site at our client 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/deliverables.

Required Skills

• Proficiency in one or more scripting languages such as R or Python.
• 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.
• 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.
• Familiarity using git, svn, JIRA, or other version control technologies.

Qualifications

• 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.
• 8 years of experience in data science, analytics, or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes. 6 years of experience required with a Master's.
• Must have an active TS/SCI clearance and must be able obtain and maintain Polygraph.

Tasks

• 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.

Desired Skills

• 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: open source, publicly available information (PAI); forensic media (i.e. DOMEX); measurement and signatures intelligence (MASINT); or cybersecurity and cyber forensics.
• Experience with information retrieval and search, e.g. Structured Query Language (SQL), and/or Elastic Stack (Elasticsearch and Kibana).
• Deployment of data science applications (e.g. Streamlit) using Docker, Kubernetes, and/or OpenShift.
• 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.
• Familiarity utilizing virtualization and distributed field systems, such as virtual environments and Hadoop (or similar distributed file systems) in development and deployment environments.
• Experience with Amazon Web Services (AWS/C2S).
• Familiarity with hardware platforms, e.g., CPUs, GPUs, FPGAs, etc.
• Familiarity or experience with building applications around Large Language Models, Agentic AI.
• Familiarity with Kubernetes - deploying and managing applications.