Data Scientist

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The Globally Contested Logistics and Supply Chain department (N154) within the Operations in Contested Environment Division (N150), aims to holistically address Logistics and Supply Chain challenges that face our nation, with a focus on the Department of Defense. We accomplish our mission by preparing for and sustaining power projection while under a persistent, multi-domain attack in contested environments through dynamic basing, resupply, and maintenance across 3 focus areas:

• Understanding the complexity of logistics and supply chains to develop resilient logistics networks
• Increasing decision advantage by providing realistic logistics constraints and options to increase lethality
• Recommending mitigations for critical supply chain and signatures vulnerabilities to ensure a robust combat readiness capability

Job Responsibilities:

• Apply a variety of analytical techniques to tackle Sponsor challenges to include data mining, statistical models, predictive analytics, optimization, risk analysis, and data visualization
• Contribute to development, test and evaluation, and demonstration of advanced analytic capabilities
• Build and test prototypes in MITRE, government labs, and commercial cloud environments
• Apply state of the art techniques, using multiple programming languages and development environments and open-source code to drive advances in mission capabilities

Required Qualifications:

• Bachelor's Degree in Data Science, Computer Science, Computer Engineering, Mathematics, Statistics, Software Engineering, or related field and 5 years of related experience; or 3 years and a Master's degree; or a PhD with relevant experience who can immediately contribute at this job step
• Active Secret and ability to obtain and maintain a Top Secret clearance
• Passion for using data to solve challenging real-world problems
• Hands on proficiency using data science techniques including data cleaning, data fusion, statistical modeling, and data visualization
• Experience with commonly used analytic tools such as Python, SAS, MATLAB, R, Java
• Familiarity with data visualization tools such as Tableau, ggplot2, Plotly, Matplotlib, Seaborn, or D3.js.
• Ability to formulate complex algorithms and processes to solve complex data problems
• Must have demonstrated proficiency and strength in verbal, written, PC, presentation, and communications skills

Preferred Qualifications :

• Demonstrated ability to manipulate large datasets to extract actionable recommendations that can be understood by senior leadership and non-technical audiences
• Demonstrated experience in using data science techniques to inform predictive analytics
• Experience with data fabric and data mesh concepts
• Experience using data science to address challenges for government or DoD Sponsors

This requisition requires the candidate to have a minimum of the following clearance(s):

Secret

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

Top Secret

Work Location Type:

Hybrid

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