Sabel Systems - Dayton, OH

posted 5 months ago

Full-time - Entry Level
Dayton, OH
Professional, Scientific, and Technical Services

About the position

Sabel Systems Technology Solutions, LLC is seeking a data scientist to join our dynamic team focused on innovative and agile Digital Engineering and Acquisition Technical Stack design, implementation, and support. This position is critical as we transition our organization from analog processes to digital processes, particularly in the context of managing spaceport launch operations for the Department of Defense (DoD). The successful candidate will leverage their expertise in data science to develop digital models that support model-based systems engineering and optimize operational and logistical processes. This role offers the opportunity to work on exciting projects that involve the integration of various data sources and the enhancement of data fidelity for informed decision-making at senior management levels. In this position, you will be responsible for researching and developing reports in various formats, including models, CVS files, and narratives. You will work with diverse data sources that vary in language, format, and syntax, crossing functional boundaries such as engineering, logistics, and finance. Your role will involve developing protocols to enrich data presentations and identify gaps in subordinate data, ensuring a seamless information process flow. You will also support digital transformation initiatives within the organization, using data to improve modeling concepts and processes. Your recommendations will enhance the fidelity and holistic application of information and data processes at both the program/project level and the enterprise level, including involvement in the DoD Program Objective Memorandum (POM) cycles and Original Equipment Manufacturer (OEM) funding.

Responsibilities

  • Research and develop reports in the form of Models, CVS files, and narratives.
  • Work with information from data sources that differ in language, format, and syntax across different functional boundaries such as engineering, logistics, and financial communities of interest.
  • Develop protocols that enrich data presentations for senior management decisions and define gaps in subordinate data.
  • Work with structured and unstructured data to support model-based systems engineering for a cutting-edge US DoD organization.
  • Support digital transformation within the organization.
  • Use data to improve modeling concepts and processes.
  • Research and develop recommendations to enhance the fidelity and holistic application of information and data processes.

Requirements

  • C+, ABAP (SAP), NOSQL, data cubes, low code, and no code programming
  • Python, R, or SQL
  • Experience using data to support organizational transformation
  • Experience using data to improve organizational performance
  • Secret Clearance or ability to obtain a Secret Clearance
  • 2 years of relevant experience
  • Bachelor's degree in computer science, Information Systems Management, Mathematics, Operations Research, Statistics, or Engineering
  • Relevant experience may be substituted for education

Nice-to-haves

  • Experience working with Department of Defense organizations
  • Agile Development
  • Lean process improvement
  • Experience with cloud platforms
  • Master's Degree in Computer Science, Information Systems Management, Mathematics, Operations Research, Statistics, or Engineering

Benefits

  • Equal Opportunity Employer including Disability and Veterans
  • Commitment to health and safety of all employees
  • Encouragement of COVID vaccination
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