The Role
Develops advanced analytics, mathematical models, algorithms, simulations, and software tools for Army mission data. Responsibilities include processing large datasets, creating and evaluating machine learning models, supporting MLOps frameworks, researching analytics tools, and enhancing applications for defense customer missions.
Summary Generated by Built In
SAIC is seeking a Data Scientist to join our team in Huntsville, Alabama 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:
- Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience.
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 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.
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.
Skills Required
- Bachelor’s degree with at least 9 years of experience, or Master’s degree with at least 7 years, or PhD/JD with at least 4 years
- Expertise with relational database storage, SQL queries, and primary/foreign keys
- Proficiency in Python, TypeScript, Java, and/or JavaScript
- Professional experience providing data analytics solutions
- Hands-on experience creating algorithms and engineering tools for data processing, modeling, and simulation
- Practical understanding of machine learning deployment and model optimization, including theoretical and numerical refinement methods
- Experience with Palantir Foundry or Army Vantage
- Must be able to obtain a full Secret clearance; Interim Secret clearance required before starting
- Must be a current U.S. citizen
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The Company
What We Do
Spectrum San Diego is a high tech security innovator, specializing in ultra-low-dose X-ray screening systems.









