Overview
On Site
USD 120,001.00 - 160,000.00 per year
Full Time
Skills
Mentorship
Data Science
Roadmaps
Process Engineering
Research
Analytics
Artificial Intelligence
Machine Learning Operations (ML Ops)
RDBMS
Database
Storage
SQL
Programming Languages
Python
C
C++
Java
JavaScript
Data Analysis
Algorithms
Data Processing
Modeling
Machine Learning (ML)
Optimization
Numerical Analysis
Security Clearance
Information Technology
Systems Engineering
FOCUS
Job Details
Job ID: 2510799
Location: ROCK ISLAND, IL, US
Date Posted: 2025-10-14
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: Interim Secret
Clearance Level Must Be Able to Obtain: Secret
Potential for Remote Work: No
Description
SAIC is seeking a Senior Data Scientist located at Rock Island Arsenal, IL to support our Operational Data Team utilizing the Army Vantage Data Analytics System to build/implement models, use/create algorithms, and create/run simulations.
JOB DESCRIPTION:
Qualifications
REQUIRED EDUCATION:
QUALIFICATIONS:
REQUIRED CLEARANCE:
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
Location: ROCK ISLAND, IL, US
Date Posted: 2025-10-14
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: Interim Secret
Clearance Level Must Be Able to Obtain: Secret
Potential for Remote Work: No
Description
SAIC is seeking a Senior Data Scientist located at Rock Island Arsenal, IL to support our Operational Data Team utilizing the Army Vantage Data Analytics System to build/implement models, use/create algorithms, and create/run simulations.
JOB DESCRIPTION:
- Lead and mentor more junior data scientists in support of a larger data science roadmap
- 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 fourteen (14)+ years of relevant experience; additional four (4) years of experience accepted in lieu of degree
QUALIFICATIONS:
- 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
- Capability to distill complex problems into digestible structures/formats
REQUIRED CLEARANCE:
- Must be able to obtain a full Secret Clearance; Interim Secret required prior to start, SAIC will help to obtain
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.