Data Scientist
Data Scientist performing research-level analytics at a customer site in Bethesda, MD, supporting national-security missions with machine learning, NLP, and data fusion over big data. Work spans building data science platforms, publishing findings, and briefing non-technical audiences; requires an active Top Secret/SCI clearance.
- Compensation
- Not disclosed
- Location
- Bethesda, MD
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data science
- Posted
Skills
Must have
- Active Top Secret/SCI security clearance
- B.S. in a quantitative/analytical field (CS, Math, Economics, Statistics, Engineering, Physics, Computational Social Science) with 2+ years experience, or Master's with less than 2 years
- Experience in data science, analytics, or quantitative intelligence analysis
- Proficiency in one or more scripting languages such as Python
- Experience deploying data science applications using Docker, Kubernetes, and/or OpenShift
- Experience with information retrieval and search technologies such as Elastic Stack (Elasticsearch, Kibana) and/or SQL
- Experience working with hybrid teams of analysts, engineers, and developers
- Previous Data Science or Research experience with big data that does not fit in memory
- Track record of active learning and creative problem solving
- Ability to analyze software development or data acquisition requirements and determine cost-effective solutions
- Familiarity with git or other version control technologies
- Ability to own work and complete tasks on time with little or no supervision
Nice to have
- Significant data analytics experience supporting military or intelligence community customers
- Experience with at least two data classes: DOMEX, PAI, MASINT, or cybersecurity/cyber forensics
- Experience with Knowledge Graphs and related technologies such as neo4j or graph machine learning
- Experience developing predictive algorithms, image classifiers, and object detectors
- Familiarity with social network analysis, supply chain analysis, forensic accounting, pattern of life analysis, NLP, social media analysis, classification algorithms, and/or image processing
- Experience blending analytical methodologies and leveraging COTS/GOTS/OS tools in unconventional ways
- Experience with on-premises air-gapped environments and/or AWS (C2S)
- Familiarity with hardware platforms such as CPUs, GPUs, and FPGAs
Full description
Position Summary
Base-2 Solutions is seeking a Data Scientist to perform research-level data analytics at a customer site in Bethesda, MD. The role supports programs advancing research and advanced machine learning, natural language processing, and data fusion applications for mission-focused big data analytics. The Data Scientist will work as part of a research-focused team to advance national security objectives, analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights.
Essential Duties and Responsibilities
- Work closely with a team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform.
- Analyze a variety of big data covering national security, cybersecurity, business intelligence, online social media, human behavior, and more.
- Support multiple simultaneous projects, independently and collaboratively making mission-relevant discoveries and delivering findings to non-technical audiences.
- Identify novel data sources to improve predictive algorithms and encourage user adoption of data analytics platforms.
- Leverage expertise in research design, exploratory analysis, quantitative methods, user interface application design, and customer outreach and engagement.
Required Qualifications
- 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.
- Experience in data science, analytics, or quantitative intelligence analysis with progressive technical development and outcomes.
- Proficiency in one or more scripting languages such as Python.
- Experience deploying data science applications using Docker, Kubernetes, and/or OpenShift.
- Experience with information retrieval and search technologies such as Elastic Stack (Elasticsearch and Kibana) and/or Structured Query Language (SQL).
- Experience working with hybrid teams of analysts, engineers, and developers to conduct research and build and deploy complex but user-friendly algorithms and analytical platforms.
- Previous experience performing Data Science or Research in data analytics or big data that does not fit in memory.
- Track record of active learning and creative problem solving.
- Ability to analyze and assess software development or data acquisition requirements and determine cost-effective solutions.
- Familiarity with git or other version control technologies.
- Ability to own work and complete tasks on time with little or no supervision.