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Machine Learning Researcher
  • Python
  • Spark
  • Java
  • Machine Learning
  • Big Data
  • Excel
  • Matlab
  • Hadoop
  • MapReduce
  • Deep Learning
  • Bayesian
Systems & Technology Research
Beavercreek, OH 45431
145 days ago

Every Analyst a Scientist - One of our primary goals is to empower intelligence analysts to be able to study their data like scientists. The tools we develop focus on streamlining intelligence analysis through integrated algorithms and software that provide insight into the geopolitical landscape for use in operational intelligence missions around the world.

The Role:
As a Machine Learning Researcher, you will develop, implement, and evaluate statistical machine learning algorithms to uncover hidden information and patterns from a diverse collection of massive datasets, including social media, structured and unstructured text, geospatial, time series, and imagery data. You will bring your expertise to a diverse team of dedicated and creative researchers to build state-of-the-art tools and technologies that are used by analysts to extract and enrich intelligence information.

If you would like to help intelligence and defense analysts keep pace with technology-driven innovation, then this role is for you!


Who you are:

  • A U.S. Citizen with the ability to obtain a Security Clearance
  • BS in a scientific field such as Computer Science, Math, Statistics, Data Science, or Physics
  • Understanding of and experience with statistics and machine learning techniques
  • Proficiency with a scientific programming language such as Python, MATLAB, Java, or C++
  • Motivated collaborator and an excellent communicator to both technical and non-technical audiences


Even better:

  • Active Security Clearance
  • MS or PhD in a scientific field such as Statistics, Mathematics, Computer Science, or Data Science or 2+ years of relevant work experience
  • Track record of developing, implementing, and evaluating statistical algorithms against real datasets
  • Experience with deep learning and neural network training, testing, and evaluation
  • Specialized expertise in a data-rich field such as time-series analysis, graph analytics, geospatial analysis, image processing, or Bayesian programming
  • Experience working with large datasets and familiarity with big data infrastructure, such as AWS, Hadoop, Spark, Dask, or MapReduce

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