Senior Data Scientist

SAIC•Rock Island, IL

1d•Onsite

About The Position

SAIC is seeking a 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.

Requirements

Senior Level - Bachelor's degree and five(5) years’ experience; additional four (4) years’ experience can be considered in lieu of degree.
Principal Level - Bachelor's degree and nine(9) years or more experience; additional four (4) years’ experience can be considered in lieu of degree.
Must be able to obtain and maintain an active Secret clearance; US Citizenship required.
Proficiency in Python and TypeScript.
Demonstrated experience in engineering reliable and efficient data pipelines.
Hands-on experience in developing data visualizations and dashboards.

Nice To Haves

Familiarity with Palantir platforms and tools.

Responsibilities

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.