Data Scientist
Our Client is seeking a Data Scientist supporting a major program advancing the
state of the art in mission-focused big data analytics 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. Come join our award-winning organization and work with some of the most talented and brightest minds in the GovCon industry.

Job 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.
• Other duties as assigned; associated with and/or in support of your primary role or program
mission.

Required Skills:
• 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.
• 4 years of experience in data science, analytics or quantitative intelligence analysis, and
demonstrating progressive technical development and outcomes. 2 years of experience
required with a master’s or an additional 4 years of experience in lieu of degree.
• Must have an active TS clearance and must be able to achieve a TS/SCI clearance with
Polygraph.
• Proficiency in one or more scripting languages such as R or Python.
• Experience working with a hybrid team of analysts, 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.
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.
• Significant experience with knowledge graphs and related technology such as neo4j.
• Significant experience with databases such as SQL, NoSQL, and specifically Elasticsearch.
• Experience blending analytical methodologies and leveraging existing COTS/GOTS/FOSS tools
in an unconventional manner.
• Familiarity utilizing containerization and container orchestration technology and approaches such
as Docker and Kubernetes in development and deployment environments.
• Familiarity using git, dvc, mlflow, and other version control technologies.
• Experience with Amazon Web Services (AWS/C2S).
• Familiarity with optimizing machine learning software to take advantage of GPUs.
• Experience creating dashboards and prototype web applications with technologies such as
Kibana, Apache Superset, Streamlit, Gradio, Plotly Dash, etc.
• Experience writing REST and gRPC APIs in technologies such as FastAPI, Flask, etc.