Data Scientist

Description

SAIC is seeking a Data Scientist to join our team at Rock Island, Illinois to support our Advanced Analytics Team to utilize the Army Vantage Data Analytics System to build/implement models, use/create algorithms and 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.

• Bachelor’s degree and five (5) years of relevant experience; additional four (4) years of experience accepted in lieu of degree.

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

• 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.

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.