LMI

Data Scientist (SME) - TS/SCI with Polygraph

Job Locations US-VA-McLean
Posted Date 1 week ago(8/6/2020 10:37 AM)
Job ID
2019-4204
# of Openings
1
Category
Data/Analytics

Overview

LMI is a consultancy dedicated to improving the business of government, drawing from deep expertise in advanced analytics, digital services, logistics, and management advisory services. Established as a private, not-for-profit organization in 1961, LMI is a trusted third party to federal civilian and defense agencies, free of commercial and political bias. We believe government can make a difference, and we seek talented, hardworking people who share that conviction.

 

LMI is seeking a Data Scientist (SME) to support an Intelligence Community client. This position will be located in the Northern VA area.

Responsibilities

  • Coordinate requirements directly with the Sponsor and internal subject matter experts
  • Demonstrate the ability to frame and scale data problems to analyze, visualize, and find data solutions.

  • Manipulate common data formats, including comma-delimited, text files, and JSON.

  • Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available tools.

  • Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to client research questions.

  • Work in a fast-paced, solutions-oriented environment focused on client deliverables, analysis, and reporting.

     

Qualifications

  • Active TS/SCI clearance with Full Scope Polygraph (FSP)
  • Bachelors in STEM or related
  • SME skill level
  • 7+ years of data science, data engineering, or data management experience
  • Working (SME) knowledge of individual, organizational, technological, or transnational issues of national security concern
  • Prior experience with the Intelligence Community and methodological experience in some of the following areas: relationships and discovery (correlating, enriching and prioritizing data about activity among actors, devices or facilities to enable the discovery of structure, roles, key relationships and targets), situational awareness (unifying data into a single context, allowing the current situation to be accurately and quickly understood), systems modeling (building a computational analog of a real-world system – political, military, economic, social or technical – to understand how it operates, what it is capable of, and how it may react to shocks) and business analytics (supporting data-driven decisions about how we can improve the business of intelligence).
  • Working knowledge of appropriate analytic methods and methodological tools in two or more (Senior)/all three (Expert) of the following areas:
    • Applied mathematics (e.g. probability and statistics, multivariable calculus, linear algebra, ordinary and partial differential equations, stochastic processes, graph theory)
    • Computer programming (e.g., scripting, data parsing/ETL, artificial intelligence, machine learning, math/statistics packages, natural language processing, software versioning, distributed computing)
    • Visualization (e.g., dashboard creation, network analysis, GIS/geospatial analysis, telemetry analysis)
  • Working knowledge of Python and some of the following software/tools: SQL, R, Hadoop, Spark, Java, C/C++, Git, Bash, Tableau, ArcGIS, Unix commands
  • Working knowledge of research designs
  • Working knowledge of collection methods, capabilities, and tasking process
  • Familiarity with project management concepts and principles
  • Intellectual curiosity; creativity and innovation to go beyond current tools to deliver the best solution to complex problems
  • Strong analytical and critical thinking skills
  • Ability to leverage multiple data management tools to organize relevant information and make decisions
  • Ability to develop comprehensive software applications, as needed
  • Ability to translate complex, technical findings into an easily understood narrative (i.e., tell a story with the data) in graphical, verbal, or written form
  • Ability to multitask and change focus quickly as demands change
  • Ability work collaboratively and effectively in a team environment
  • Ability to establish and maintain internal and external professional networks including subject matter experts, collectors, and decision makers that are necessary to carry out tasks or projects

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EEO Statement

LMI is an Equal Opportunity Employer-all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. 

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LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, age, national origin, disability, veteran status, or any other factors protected by applicable law.

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