Role overview
- 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.
Code, test, and maintain internally developed mathematical software tools.
*Qualifications
Required Education**:
- Bachelor’s degree with (2)+ years of relevant experience; additional four (4) years of experience accepted in lieu of graduate degree.
What we're looking for
- Relational database expertise in database storage, SQL queries, and primary/foreign keys.
- Demonstrated proficiency in programming languages such as Python, C/C++, 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.
Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
Tags & focus areas
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