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Data Scientist - TS/SCI with Polygraph Required
Data Scientist - TS/SCI with Polygraph RequiredLMI Consulting, LLC • McLean, Virginia, United States
Data Scientist - TS / SCI with Polygraph Required

Data Scientist - TS / SCI with Polygraph Required

LMI Consulting, LLC • McLean, Virginia, United States
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  • [job_card.full_time]
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Data Scientist - TS / SCI with Polygraph Required

Job Locations

US-VA-McLean

Job ID

2024-11991

# of Openings

Category

Other

Benefit Type

Salaried High Fringe / Full-Time

Overview

LMI is seeking a Data Scientist to support a U.S. Federal Government Agency working with classified media. This position will work with a team of developers, architects, and data scientists tobuild new capabilities for our client, bringing innovative ideas to challenging and complex problems. The Data Scientist willquery and structure data, apply algorithms to develop machine learning models, develop metrics and data visualizations, and deploy visualization products to web-based environments. The Data Scientist will have a strong background in technology, the ability to structure data for reporting, and a strategic view for how to present analytic results to customers. This position will be responsible for presenting and explaining complex results to users. Join our team of collaborative self-starters focused on delivering practical and efficient solutions in support of our client's incredibly important mission.

Responsibilities

Gather and process raw data at scale by using statistical packages (e.g., R, SAS) and programming languages (e.g., Python, Java, and Scala);

  • Develop performance metrics, conduct statistical analyses, and apply decision models to address business process challenges;
  • Query databases using SQL with structured data and perform statistical analysis;
  • Develop a familiarity with machine learning algorithms and advanced statistical methods, such as regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks; and
  • Use critical thinking skills to assess how machine learning capabilities can best be applied to complex business situations.
  • Develop intuitive dashboards and data visualization products using Tableau or other data visualization tools;
  • Think strategically about how to publish data visualizations and present analytic results;
  • Support business decisions with ad hoc analysis;

Qualifications

  • 3 years of experience using data sources from industry, academia, the IC, the military, and / or the scientific community.
  • 3 years of experience discovering, organizing, and structuring data and applying advanced analytic techniques, such as mathematical modeling, geospatial analysis, and applications of graph theory.
  • 3 years of experience using Python, R, or other coding languages and developing and evaluating algorithms and methods.
  • Experience in advanced analytics, such as social network analysis (SNA), social media analysis, graph theory, geospatial analysis, and data visualization.
  • Experience with data manipulation, analytic papers or report writing, and subject matter briefing(s), slides and graphic products.
  • Active TS / SCI with polygraph required.
  • #LI-SH1

    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, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact

    Colorado Residents : In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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