Senior Data Scientist

SAIC•Huntsville, AL

About The Position

SAIC is seeking a Data Scientist to join its Advanced Analytics Team in Huntsville, Alabama. The role supports use of the Army Vantage Data Analytics System to build and implement models, use and create algorithms, and create and run simulations. The position conducts mission-data analysis across multiple domains and applies mathematical and computational methods to explore concepts and solve customer problems. The Data Scientist develops, maintains, and enhances complex software algorithms and applications, including processing-intensive analytics and tools for manipulating large data sets. The role also researches analysis products and tools for potential integration into analytics and AI offerings, improves and tests a MLOps framework to support the team’s analysis work, and refines existing applications to better meet the customer’s mission.

Requirements

  • Bachelor’s degree and nine or more years of experience, or a master’s degree and seven or more years of experience, or a Ph.D. or JD and four or more years of experience.
  • Expertise in relational databases, including database storage, SQL queries, and primary and foreign keys.
  • Demonstrated proficiency in programming languages such as Python, TypeScript, Java, and/or JavaScript.
  • On-the-job knowledge of providing data analytics solutions.
  • Hands-on experience creating algorithms and engineering tools for data processing and modeling and simulation.
  • Practical understanding of machine-learning deployment focused on optimization, including theoretical and numerical methods for model refinement.
  • Must have an active Secret Clearance.
  • Must be a current U.S. citizen.

Nice To Haves

  • Experience with Palantir Foundry/Vantage.

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 applications to explore concepts and solve customer problems.
  • Develop, maintain, and enhance complex and diverse software algorithms, including processing-intensive analytics, novel process development, and large-data-set manipulation.
  • Research analysis products and tools for possible integration to enhance analytics and AI offerings.
  • Create tools and applications using a variety of software languages, frameworks, and libraries.
  • Improve, support, and test a MLOps framework to support other team members’ analysis work.
  • Refine and enhance existing applications to better meet the customer’s mission.
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