LMI

Senior Data Scientist (TS/SCI)

Job Locations US-MD-Joint Base Andrews
Posted Date 3 months ago(5/7/2020 2:17 PM)
Job ID
2020-4791
# 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.

 

This position is embedded within our Data Analytics practice. Leverage your curiosity and problem-solving skills to explore, discover, and predict patterns contained within data sets for a wide range of government clients. This includes the derivation of clear narratives that help our clients understand their data and how those insights address their research questions.

 

This position is located at a client site in Ft. Washington, MD 

Responsibilities

  • Provide expertise in data analytics and algorithm development supporting the integration and analysis of diverse data sources.
  • Develop machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection.
  • Extract open source data leveraging APIs and methods to include web scraping and natural language processing.
  • Work with social media data mining and analysis.
  • Improve upon current methods for the automated processing and exploitation of large data sets.
  • Significant experience contributing to business development efforts in a consulting environment. 
  • Demonstrate the ability to frame and scale data problems to analyze, visualize, and find data solutions.
  • 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

 

  • Degree (Master’s required) in science, technology, engineering, mathematics, computer science, economics, or other related business or technical discipline is required
  • Experience working with tools, including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn)
  • Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js to communicate findings and relate them back to how your insights create business impact
  • Working knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connections
  • At least 5+ years of experience in the field
  • Superior communication skills, both oral and written
  • Active TS/SCI Clearance
  • Preferred experience in the following areas:
    • Experience in the intelligence space preferred
    • Data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics
    • Unstructured text and natural language processing
    • R, Python, SAS, or MATLAB
    • Anaconda, IBM Blue, and Oracle Big Data to analyze large data sets and develop automated analytics in making sense of data affecting DoD operations
    • Developing machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets
    • Supervising algorithm implementation in on-premise and cloud-based computing environments
    • Developing software to generate reports and visualizations that summarize data sets and provide data-driven insights
    • Developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions

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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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