Data Scientist Technical Intern

SAIC•Rock Island, IL

About The Position

SAIC accepts applications on an ongoing basis and there is no deadline. SAIC® is a premier Fortune 500® mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. We are approximately 24,000 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 $7.5 billion. For more information, visit saic.com . For ongoing news, please visit our newsroom . SAIC is currently seeking a Data Scientist Technical Intern at Rock Island Arsenal, IL. The Data Scientist Technical Intern will be responsible for but not limited to the following duties\: Provide quantitative and qualitative analytical capabilities in advanced methodological approaches and advanced business process optimization. Leverage the latest techniques in data using the Army Vantage data analytics platform built on Palantir's Foundry with cloud computing and distributed computing. Provide advanced analytic solutions from data pipelines to decision focused advanced analytic solutions. Assist the client in identifying complex challenges and incorporating analytic techniques to develop comprehensive solutions. Stretch your wings while researching and implementing techniques in data engineering, data visualization, statistics, linear optimization, discrete event simulations, network graph analysis, and machine learning. Work on a team of analytic professionals to create enterprise level solutions. Train and educate front end users on data literacy and analytic tools.

Requirements

AA Degree in related discipline (Computer Science, Data Science, or Business Analytics) and one year of related experience; High School and two (2) years of related experience.
Demonstrated experience with the Python programming language
Demonstrated experience using Microsoft Office Suite
Proficiency in basic computer skills, virtual meeting, and using cloud-based tools.
Solid work experience with customers/resolving issues while meeting schedule requirements.
Must possess good oral and written communications skills.
Must be motivated, adaptable, and flexible.
Excellent organizational and follow-up skills with strong attention to detail.
Ability to encourage, inspire, and participate in teamwork.
Ability to obtain and maintain an active Secret security clearance
Interim Secret to start work on the contract
U.S. citizenship required

Nice To Haves

Python programming language using PySpark and Pandas
Relational database concepts
Structured Query Language (SQL)
R programming language (tidyverse)
Microsoft Office PowerPoint and SharePoint
Demonstrated ability to take a business problem and work towards a more efficient solution like Lean Six Sigma

Responsibilities

Provide quantitative and qualitative analytical capabilities in advanced methodological approaches and advanced business process optimization.
Leverage the latest techniques in data using the Army Vantage data analytics platform built on Palantir's Foundry with cloud computing and distributed computing.
Provide advanced analytic solutions from data pipelines to decision focused advanced analytic solutions.
Assist the client in identifying complex challenges and incorporating analytic techniques to develop comprehensive solutions.
Research and implementing techniques in data engineering, data visualization, statistics, linear optimization, discrete event simulations, network graph analysis, and machine learning.
Work on a team of analytic professionals to create enterprise level solutions.
Train and educate front end users on data literacy and analytic tools.

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