Job 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. Preferred Qualifications • Significant data analytics experience supporting military or intelligence community customers with progressive technical development and mission-focused outcomes. • Experience with at least two of the following data classes: forensic media (DOMEX), open source publicly available information (PAI), measurement and signatures intelligence (MASINT), or cybersecurity and 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, natural language processing, social media analysis, classification algorithms, and/or image processing. • Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in unconventional ways. • Experience with on-premises air-gapped environments and/or Amazon Web Services (AWS/C2S). • Familiarity with hardware platforms such as CPUs, GPUs, and FPGAs. Required Education and Experience Equivalency • B.S. Degree in a quantitative or analytical field with 2+ years of experience. • Master's degree or equivalent graduate degree including certificate-based advanced training courses with Less than 2 years of experience. Required Certifications • None specified. Required Security Clearance • Active Top Secret/SCI Equal Employment Opportunity Base-2 Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, sexual orientation, gender identity, genetic information, protected veteran status, or any other characteristic protected by law, and will not be discriminated against on the basis of disability. Learn more: base-2solutions.com/eeo

Requirements

Must-haves

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.
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.

Nice-to-haves

Significant data analytics experience supporting military or intelligence community customers with progressive technical development and mission-focused outcomes.
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, natural language processing, social media analysis, classification algorithms, and/or image processing.
Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in unconventional ways.
Experience with on-premises air-gapped environments and/or Amazon Web Services (AWS/C2S).
Familiarity with hardware platforms such as CPUs, GPUs, and FPGAs.
None specified.
Active Top Secret/SCI

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpythondockerkubernetessqlaws

Platform: taleo-tbe
Effort: medium

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