Data Scientist Lead

Job Locations Other-Multiple Locations-OCONUS
Job Post Information* : Posted Date 1 year ago(5/7/2021 4:07 PM)
Location : Location
-Multiple Locations-OCONUS
Clearance Requirement
Top Secret/SCI
Job Requires Relocation
Job Requires Relocation


*** This position is contingent upon a contract award ***


SOSi is seeking a Data Scientist Lead, supporting the United States Army Intelligence and Security Command (INSCOM) to provide the Army Intelligence Enterprise Global Information Services (AIEGIS) Data Science Support. This position will support INSCOM HQ and affiliated units both in the Continental United States (CONUS) and Outside the Continental United States (OCONUS)


Position is available in multiple CONUS & OCONUS locations with up to 25% travel.


Army Intelligence is modernizing and transforming to support Multi-Domain Operations (MDO) objectives required for large-scale combat operations (LSCO) to enable commanders to see farther, understand sooner, and share wider than ever before. Our team will provide support for the digital strategy to consolidate separate staff-managed digital services under an Army Intelligence Enterprise (AIE) service delivery activity.  As necessary, we administer products and services required by AIEGIS to provide value for the Army Intelligence mission by applying data science approaches to intelligence problems to support commander decisions.


  • Apply statistics, machine learning and analytic approaches to answer key intelligence questions, producing results and re-usable products that provide real value to Intelligence Analysts
  • Develop and refine data sets to achieve stakeholder goals and objectives as requested
  • Work with intelligence analysts to interpret analytic results and refine analysis as needed
  • Apply machine learning techniques to identify and transform data features, find hidden patterns and trends, build and optimize classifiers, create automated anomaly detection systems, and automate steps of the intelligence process
  • Evaluate statistical models to determine the validity of analyses, implement evaluated models into production by collaborating with software developers, periodically re-evaluate and refine machine learning models being used in production
  • Coordinate with Data Analysts to refine and implement models and monitor outcomes
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Communicate results and ideas to key decision makers, analysts and other stakeholders. Contractor shall advise on the interpretation and use of data intelligence products, quality assessments and applications
  • Collaborate with Intelligence Analysts to understand needs and devise possible solutions
  • Conduct technical reviews and develop appropriate materials to training system users and Instructors in preparation of operational deployments
  • Assess training requirements based on current system and functional baseline
  • Develop training artifacts in support of operations including Standard Operating Procedures (SOPs), and Tactics, Techniques and Procedures (TTPs)


  • Active in scope TS/SCI clearance with the ability to obtain a CI polygraph
  • MS in Data Science, Statistics, Applied Math, or related field, with at least 6 years of experience as member of data science team with at least a portion of the experience within the last 2 years leading data science projects;
  • OR, Bachelor’s degree related to the labor category and an additional 8 years of related senior experience, for a total of 12 years, as a substitute to the Master’s degree
  • Languages, Tools, and Techniques Demonstrated proficiency with R or Python, and SQL to manipulate data and draw insights from large and small data sets
  • Documented proficiency in a variety of supervised and unsupervised machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
  • Documented proficiency in advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Documented proficiency with common data science libraries
  • Demonstrated proficiency visualizing/presenting data for stakeholders
  • Documented proficiency with MS Office tools including Excel, PowerPoint, and Word
  • Demonstrated proficiency with Amazon Web Services (AWS), in particular products related to: analytics, compute, database, developer tools, and machine learning
  • Skilled data wrangler
  • Experience with database solutions including SQL, NoSQL (e.g. MongoDB) and graph (e.g. Neo4j)
  • Experience with data visualization tools, such as D3.js, ggplot, Bokeh, etc.
  • Capability to recognize when Data Science can add value to an intelligence problem, and when it cannot.
  • Ability to translate an intelligence problem into a Data Science problem, and to work with the Intelligence Analysts and Analyst Control Element (ACE) Chief to refine understanding of the problem
  • Comfortable working in a dynamic team environment with several ongoing concurrent projects; able to multitask, prioritize, and manage time effectively
  • Excellent written and verbal communication skills; good Interpersonal skills and communication with all levels of leadership
  • A drive to learn and master new technologies and techniques; desire to maintain currency on latest industry trends including completing additional training; able to articulate trends and potential clearly and confidently
  • Creative problem solver who thrives when presented with a challenge; able to analyze problems and strategize for better solutions; strong problem solving skills with an emphasis on production for re-use
  • Goal-oriented, encouraging to team and staff; comfortable as a team-player, leader and mentor

Preferred Qualifications

  • MS in Data Science, Statistics, Applied Math, or related field.
  • Two years leading data science projects is desired
  • Five years intelligence analysis experience is desired (MOS 35/350 series or other DoD/IC equivalent)
  • Fluency in a foreign language is desirable, but not required

Working Conditions

  • Fast-paced, deadline-driven environment
  • Must be comfortable working in a multi-cultural environment
  • Some evening, weekend, or shift work could be required
  • Some travel may be required


SOSi is an equal employment opportunity employer and affirmative action employer. All interested individuals will receive consideration and will not be discriminated against on the basis of race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity, genetic information, or protected veteran status. SOSi takes affirmative action in support of its policy to advance diversity and es affirmative action in support of its policy to advance diversity and inclusion of individuals who are minorities, women, protected veterans, and individuals with disabilities.


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