Data Scientist

SAIC; Rock Island (IL); On-site; USD 120,000 - 160,000; Full time

Job summary

SAIC seeks a Data Scientist in Rock Island, IL to join the Advanced Analytics Team. You will work with the Army Vantage Data Analytics System to build and implement models, develop algorithms, and run simulations for mission support.

Responsibilities include analyzing mission data, designing mathematical models, and creating tools using Python, TypeScript, Java, or JavaScript, with an emphasis on ML deployment and optimization. On-site role with potential for some remote work.

Qualifications

• Bachelor’s degree with 4 years of relevant experience; or 8 years in lieu.
• Relational database experience with SQL and keys.
• Proficiency in Python, TypeScript, Java, or JavaScript.
• Hands-on data analytics solutions development.
• Experience deploying ML models and optimization techniques.
• Palantir Foundry/Vantage preferred but not required.

Responsibilities

• Analyze mission data across domains.
• Translate problems into mathematical/computational terms.
• Develop and apply algorithms and models for analytics and simulations.
• Create and maintain software algorithms for data processing at scale.
• Research tools and approaches to enhance Analytics and AI offerings.
• Build new tools using various languages, frameworks, and libraries.
• Support and test an MLOps framework for team analytics work.
• Refine existing apps to meet customer missions.

Skills

Python

Typescript

Java

JavaScript

SQL

MLOps

Data analytics

Education

Bachelor’s degree + 4 years

Tools

Palantir Foundry/Vantage

MLOps framework

Job description

Job ID 2617203

Location Rock Island, IL, US

Date Posted 2026-09-23

Category Information Technology

Subcategory Data Scientist

Schedule Full-Time

Shift Day Job

Travel Yes - 25% of the time

Minimum Clearance Required Interim_Secret

Clearance Level Must Be Able to Obtain Secret

Potential for Remote Work ORA_ON_SITE

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.

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 four (4) 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, 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.

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