Data Scientist

SAICColorado Springs, CO
Onsite

About The Position

SAIC is seeking a Data Scientist to join their Advanced Analytics Team. This role will utilize the Army Vantage Data Analytics System to build/implement models, use/create algorithms, and create/run simulations. The company is a premier mission integrator focused on advancing technology and innovation to serve and protect the world, with a robust portfolio across defense, space, intelligence, and civilian markets. They integrate emerging technology rapidly and securely into mission-critical operations that modernize and enable critical national imperatives. SAIC is approximately 23,000 strong, driven by mission, united by purpose, and inspired by opportunities. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion.

Requirements

  • Utilize the Army Vantage Data Analytics System to build/implement models.
  • Use/create algorithms.
  • Create/run simulations.
  • Conduct analysis of mission data applicable in multiple domains.
  • Formulate and interpret problems in mathematical or computational terms.
  • Design, develop, use, and evaluate mathematical models, methods, and algorithm application to explore concepts and solve problems for the customer.
  • Develop, maintain, and enhance complex and diverse software algorithms (e.g. processing-intensive analytics, novel process development, manipulation of large data sets).
  • Research analysis products and tools for possible integration to enhance Analytics and AI offerings.
  • Create new tools and applications using a variety of software languages, frameworks, and libraries.
  • Improve, support, and test a MLOps framework to support other team member’s analysis work.
  • Refine and enhance existing applications to better meet the customer’s mission.

Responsibilities

  • Conduct analysis of mission data applicable in multiple domains.
  • Formulate and interpret problems in mathematical or computational terms.
  • Design, develop, use, and evaluate mathematical models, methods, and algorithm application to explore concepts and solve problems for the customer.
  • Develop, maintain, and enhance complex and diverse software algorithms (e.g. processing-intensive analytics, novel process development, manipulation of large data sets).
  • Research analysis products and tools for possible integration to enhance Analytics and AI offerings.
  • Create new tools and applications using a variety of software languages, frameworks, and libraries.
  • Improve, support, and test a MLOps framework to support other team member’s analysis work.
  • Refine and enhance existing applications to better meet the customer’s mission.
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