Build and implement data science models, algorithms, simulations, and analytics solutions for Army mission data. Responsibilities include mathematical modeling, large-scale data processing, software algorithm development, machine learning deployment optimization, MLOps framework support, tool integration, and application enhancement for defense customers.
SAIC is seeking a Data Scientist to join our team in Colorado Springs, CO 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.
Job Description:
- 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.
Required Education:
- Bachelor’s degree and five (5) years of relevant experience; Masters and three (3) years or more experience; PhD or JD and zero (0) years or more experience; additional four (4) years of experience accepted in lieu of graduate degree.
Qualifications:
- 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.
Required Clearance:
- Must have an active Top Secret clearance.
- Must be a Current U.S. Citizen.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.
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