Data Scientist

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Apply mathematical theories and statistical methods to solve practical problems  sible analytic modernization efforts across the law enforcement and intelligence communities. The challenges vary by client, but our need remains the same.

We’re seeking a highly motivated data scientist with strong communication skills, capable of:

• Supporting predictive analysis, social media and crowd-source data analytics, war gaming, and strategy development.  
• Developing and utilizing machine learning and data mining algorithms to include prediction algorithms based on open-source capabilities. 
• Developing, monitoring, and evaluating advanced analytic methods as they are applied to live use-cases 
• Applying exploratory analysis and rapid iteration techniques of large volumes of data to quickly derive intelligence. 
• Coding and integrating algorithms to support intelligence search and discovery missions.
• Explaining strengths and weaknesses of proposed methods and making best practice recommendations on managing data within hardware, software, storage, and bandwidth constraints.  

MINIMUM QUALIFICATIONS

• Active Top Secret Clearance with SCI eligibility 
• Bachelor’s Degree relevant to data analysis (statistics, mathematics, engineering, physics, econometrics, operations research, or computer science related) 
• Four or more years of programming experience in Python, R, or Matlab 
• Demonstrated work, research or educational experience in a field relevant to data science, data analysis, and/or evaluating analysis methods; for example, mathematics, statistics, artificial intelligence, machine learning,, probability modeling, data mining, data engineering 
• Successful applications of quantitative methods to achieve improved products in a military and intelligence environment. 
• Understanding of how to integrate quantitative methods into new or existing tools and technologies 

PREFERRED QUALIFICATIONS

• Masters Degree with 6+ years of related experience 
• Processing large amounts of data for statistical modeling and graphic analysis (metrics): 

                          -C2S, AWS/CWS, Web Services, building VMs 

                          -S3 Bucket 

• Building applications: 

                          -Python | R | R Shiny in the development of applications 

                          -Machine learning, NLP/Text Processing and data mining algorithms, including prediction            algorithms based on open source capabilities

• Statistical modeling experience, Bayesian networks, etc 

                         -Apply mathematical theories and statistical methods to solve practical problems