Data Scientist Intern: Insights & ML — Remote Option

SAIC; Middletown (RI); On-site; USD 21,000 - 34,000; Full time

Job summary

SAIC is seeking a Data Scientist Intern to support the MK48 Program in Middletown, RI. You will work with cross-functional teams to derive actionable insights from data and help translate mission needs into analytical solutions.

The role covers data collection, cleansing, integration, and storage, applying machine learning, NLP, and BI techniques to inform decisions in an on-site internship environment.

Qualifications

• General Education degree and enrolled in a 4 year higher education program.
• Must be able to obtain a SECRET clearance.
• Organized, motivated and able to work in a team.
• Familiar with data analytical and visualization tools.
• Familiar with cleaning, transforming, and preparing complex datasets for analysis.

Responsibilities

• Work with cross-functional teams with data at all stages of the analysis lifecycle to derive actionable insight.
• Translate mission needs into an end-to-end analytical approach to achieve results.
• Perform the pre-analytics areas of data collection and understanding, data cleansing and integration, and data storage and retrieval.
• Familiarity with analytics, and visualization software and programming languages, including analytics methods for big data.
• Determine the appropriate analytics based on the data and the desired outcomes, using techniques including feature detection, statistics, data mining, predictive modeling, machine learning, natural language processing, and business intelligence.

Skills

Data analytics

Data visualization

Team collaboration

Programming basics

Education

General Education Degree

Job description

SAIC is seeking a Data Scientist Intern to support the MK48 Program in Middletown, RI. You will work with cross-functional teams to derive actionable insights from data and help translate mission needs into analytical solutions.

The role covers data collection, cleansing, integration, and storage, applying machine learning, NLP, and BI techniques to inform decisions in an on-site internship environment.