LMI
Data Scientist - Clearance Required
LMI, Tysons Corner, Virginia, United States,
Overview
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.
LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.
Responsibilities
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 DoD Secret clearance requiredBachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative disciplineExperience 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 impactWorking knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connectionsAt least 5–10 years of experience in the fieldSuperior communication skills, both oral and writtenPreferred experience in the following areas:DoD experience preferredData science methods related to data architecture, data munging, data and feature engineering, and predictive analyticsUnstructured text and natural language processingR, Python, SAS, or MATLABAnaconda, IBM Blue, and Oracle Big Data to analyze large data sets and develop automated analytics in making sense of data affecting DoD operationsDeveloping machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data setsSupervising algorithm implementation in on-premise and cloud-based computing environmentsDeveloping software to generate reports and visualizations that summarize data sets and provide data-driven insightsDeveloping 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
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.#J-18808-Ljbffr
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.
LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.
Responsibilities
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 DoD Secret clearance requiredBachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative disciplineExperience 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 impactWorking knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connectionsAt least 5–10 years of experience in the fieldSuperior communication skills, both oral and writtenPreferred experience in the following areas:DoD experience preferredData science methods related to data architecture, data munging, data and feature engineering, and predictive analyticsUnstructured text and natural language processingR, Python, SAS, or MATLABAnaconda, IBM Blue, and Oracle Big Data to analyze large data sets and develop automated analytics in making sense of data affecting DoD operationsDeveloping machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data setsSupervising algorithm implementation in on-premise and cloud-based computing environmentsDeveloping software to generate reports and visualizations that summarize data sets and provide data-driven insightsDeveloping 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
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.#J-18808-Ljbffr