Required Skills 
•    Must have or be able to obtain and maintain a DoD Secret security clearance.
•    U.S. Citizenship, required.
•    Must be a lifelong learner, willing to share and grow the knowledge of those around them.
•    Strong qualitative and quantitative analysis skills.
•    Provide technology, activity, and scale agnostic solutions to establish and operationalize insights-driven decision-making at the command level and align outputs to command operational requirements through web-based systems. 
•    Conduct data modeling and management to assemble data structures and lineage 
•    Develop analytic models and tools using a variety of commercial-off-the-shelf and open source capabilities like Jupyter or Zeppelin notebooks and exposed application programing interfaces, as well as business intelligence, and visualization tools such as Tableau, Qlik, and COGNOS 
•    Research, develop, and apply statistical and machine learning model workflows and tools such as Argo and Kubeflow Pipelines to build, train, and test new machine learning models, such as ModelDB to carry out model tuning, data and model provenance, and storing trained models 
•    Deploy, monitor, and update models in production, and languages and frameworks such as Python, R, Julia, Scala, and several legacy deep-learning libraries such as Theao, Caffe2, and Torch 
•    Assist the command with cloud implementations, including assessment, application rationalization, data migration and management, and machine learning and artificial intelligence analytics in a cloud environment 
•    Recommend improvements to associated workflows as defined by the customer
•    Create user space that is primarily enabled by automatically accumulated, compiled, processed, and correlated information of value 
•    Design and create user experience for an intuitive output consisting of ‘fewest clicks to an answer’ while iteratively creating capacity for ‘minimum viable capability’ with extensibility as a core tenant 
•    Connect data sources across an organization, align datasets to a unified schema, consolidate a unified dataset through entity de-duplication and mastering when necessary, and classify records into a taxonomy for downstream analysis 

  Required Experience
•    BS/BA in related degree such as Data Analytics, Operations Research, Economics, Engineering, Mathematics, etc. (Other education, commensurate experience and demonstrated ability of individual may be substituted)
•    Minimum of 10 years professional work experience providing data analytics services.