Data Scientist - TS/SCI with Polygraph Required

LMI Consulting, LLC; McLean (VA); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading federal contractor in McLean, VA is looking for a Data Scientist to support a U.S. Federal Government Agency. This role involves gathering and analyzing data to develop machine learning models and creating data visualizations. Ideal candidates should have at least 3 years of experience in data analytics, proficiency in Python and R, and an active TS/SCI clearance with polygraph. Competitive salary with fringe benefits offered.

Qualifications

• 3 years of experience in using data from various sources.
• 3 years of experience with advanced analytic techniques.
• 3 years of coding experience in Python, R, or other languages.
• Experience with advanced analytics and data visualization.
• Active TS/SCI with polygraph required.

Responsibilities

• Gather and process raw data using statistical packages.
• Develop performance metrics and conduct statistical analyses.
• Query databases and perform statistical analysis.
• Develop dashboards and data visualization products.
• Support business decisions with ad hoc analysis.

Skills

Data manipulation

Statistical analysis

Machine learning

Data visualization

Critical thinking

Tools

Python

R

SQL

Tableau

Job description

Data Scientist – TS/SCI with Polygraph Required

Job Locations: US-VA-McLean

Job ID: 2024-11991 | # of Openings: 1 | 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 to build new capabilities for our client, bringing innovative ideas to challenging and complex problems. The Data Scientist will query 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‑st arters 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.
• 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.

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Equal Opportunity Statement

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 [e-mail].

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