Senior Data Scientist

SAICHuntsville, AL
Onsite

About The Position

SAIC is seeking a Data Scientist to join our team in Huntsville, Alabama to support our 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 position involves conducting analysis of mission data applicable in multiple domains, formulating and interpreting problems in mathematical or computational terms, and designing, developing, using, and evaluating mathematical models, methods, and algorithm applications to explore concepts and solve customer problems. The Data Scientist will develop, maintain, and enhance complex and diverse software algorithms, research analysis products and tools for integration, create new tools and applications using various software languages, frameworks, and libraries, improve, support, and test an MLOps framework, and refine and enhance existing applications to better meet customer missions.

Requirements

  • Relational database expertise in database storage, SQL queries, and primary/foreign keys.
  • Demonstrated proficiency in programming languages such as Python, typescript, Java, and/or JavaScript.
  • Demonstrated 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 in machine learning deployment with a focus on optimization, including theoretical and numerical methods for refinement of models.
  • Must be able to obtain a full Secret Clearance; Interim Secret required prior to start, SAIC will help to obtain.
  • Must be a Current U.S. Citizen.

Nice To Haves

  • Experience with Palantir Foundry/Vantage preferred but not required.

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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