On-Site Data Scientist for Mission Analytics & ML Ops

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

Job summary

SAIC seeks a Data Scientist to join our Rock Island, Illinois team. You will support the Advanced Analytics Team and leverage Army Vantage to build models, run simulations, and implement algorithms for mission analysis.

Responsibilities include developing data processing tools, applying ML techniques, and enhancing analytics platforms. Strong programming in Python/SQL and deployment experience are expected.

Qualifications

• Bachelor’s degree and five years of relevant experience; four additional years accepted in lieu of degree.
• Relational database experience with SQL and keys.
• Programming in Python, typescript, Java, and/or JavaScript.
• Experience delivering data analytics solutions and developing ML models.
• Hands-on experience creating algorithms for data processing and modeling.
• ML deployment with optimization focus; knowledge of numerical methods.
• Palantir Foundry/Vantage experience preferred but not required.

Responsibilities

• Analyze mission data across domains and formulate problems in mathematical terms.
• Design, develop, and evaluate models and algorithms for customer use.
• Create and optimize software algorithms for data analytics.
• Research tools and integrate analytics and AI capabilities.
• Develop new tools and applications using varied languages and frameworks.
• Improve and test an MLOps framework to support teammates.
• Refine existing applications to meet customer missions.

Skills

Python

SQL

Java

JavaScript

Typescript

Machine Learning

MLOps

Data Analytics

Education

Bachelor's degree

Tools

Palantir Foundry/Vantage

Job description

SAIC seeks a Data Scientist to join our Rock Island, Illinois team. You will support the Advanced Analytics Team and leverage Army Vantage to build models, run simulations, and implement algorithms for mission analysis.

Responsibilities include developing data processing tools, applying ML techniques, and enhancing analytics platforms. Strong programming in Python/SQL and deployment experience are expected.