Junior Data Scientist - Clearance Required

Washington, DC, United States

Logistics Management Institute

With a legacy of solving the government’s most complex challenges and an outcome-driven model to execute above expectation, LMI transforms missions with solutions that define the new speed of possible.

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Overview

LMI is seeking a Data Scientist to support the F-35 Program. 

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. 

LMI has been named a 2022 and 2024 #TopWorkplace in the United States by Top Workplaces! We are honored to be recognized as a company that values a people-centered culture, and we are grateful to our employees for making this possible! 

This position requires an active Secret clearance.   

The Data Scientist will provide support to the customer to uncover and explain actionable insights from data by combining scientific method, math and statistics, specialized programming, advanced analytics, AI, and storytelling. The Statistician will work as part of a team of experienced statisticians, data scientists, data engineers, and data analysts to support advanced analytics projects for the F-35 program. You will work as part of a team with other contractors, government civilians, and military personnel in an agile environment. 

Responsibilities

The Data Scientist duties may include: 

  • Ability to interpret and incorporate data from multiple tool sources. 
  • Analyze data sources to provide actionable recommendations. 
  • Demonstrate the ability to frame and scale statistical problems to effectively analyze, visualize and find statistical solutions. 
  • Ability to transform data and analysis into informative data visualizations and/or interactive dashboards. 
  • Skill in developing or recommending analytic approaches or solutions to problems and situations for which information is incomplete or for which no precedent exists. 
  • Responsibility for providing statistical support to the F-35 program, including data analysis, statistical modeling, and reporting. 
  • Communicating statistical results and recommendations to non-technical stakeholders. 
  • Interact professionally with clients/internal teams; gather requirements and document the work in a ticketing system, designing and implementing new feature additions and improvements.  
  • Utilize industry standard tools such as Gitlab for code version control, project management, product requirements, and user documentation. 
  • Work directly with the customer to gather requirements and product feedback for future iterations. 
  • Support capabilities briefings for military personnel. 
  • Strong ability to analyze business requirements and create solutions. Ability to troubleshoot problems and provide timely resolutions. 
  • Clearly communicate with product owners to understand business concerns and demonstrate proposed solutions for acceptance. 
  • High energy, enthusiasm, tact, ability to effectively interact with senior executives from Government and industry.  
  • Ability to create and foster a cooperative work environment. 
  • Self-directed, detail oriented in completing assigned tasks, able to adapt to changing work efforts and manage impact of shifting priorities. 
  • Availability for occasional travel. 

 

Core KSATs for DoD Cyber Workforce (DCWF): 

  • Knowledge of computer networking concepts and protocols, and network security methodologies. 
  • Knowledge of risk management processes (e.g., methods for assessing and mitigating risk). 
  • Knowledge of national and international laws, regulations, policies, and ethics as they relate to cybersecurity. 
  • Knowledge of cybersecurity principles. 
  • Knowledge of cyber threats and vulnerabilities. 
  • Knowledge of specific operational impacts of cybersecurity lapses. 
  • Knowledge of cloud computing service models Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS). 
  • Knowledge of cloud computing deployment models in private, public, and hybrid environment and the difference between on-premises and off-premises environments. 

Qualifications

Minimum Qualifications 

  • DOD Cyber Workforce (DCWF) 8140 (451) System Administrator role: A BS degree in Information Technology, Cybersecurity, Data Science, Information Systems, or Computer Science, from an ABET accredited or CAE designated institution fulfills the educational requirement for this WRC (conferred within 5 years or able to prove continuous relevant work experience) -OR- Personnel Certifications: Cloud+ or GICSP or SSCP or Security+ or GSEC.  If none, must be willing to obtain in first 30-days. 
  • Experience working with Python 
  • Experience creating meaningful data visualizations and/or interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js 
  • Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics 
  • Superior communication skills, both oral and written 
  • Demonstrated ability to use MS Office Suite to include Word, PowerPoint, and Excel. 
  • Superior communication skills, both oral and written.  
  • Active Secret clearance required. 

 

Preferred Qualifications 

  • Previous DOD experience. 
  • Previous experience working with supply chain or maintenance data or processes. 
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Category: Data Science Jobs

Tags: Agile Architecture Computer Science D3 Data analysis Engineering Excel Feature engineering GitLab Mathematics Plotly Power BI Python Qlik Research Security Statistical modeling Statistics Tableau

Perks/benefits: Startup environment

Region: North America
Country: United States

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