Remote Junior Data Scientist – Analytics & Modeling

STI Federal; United States; Remote; USD 100,000 - 115,000; Full time

Job summary

STI Federal is seeking a Data Scientist, Level 1 for a fully remote nationwide position in the United States. The role focuses on supporting data analysis, reporting, and model development for federal programs.

Responsibilities include collecting and cleaning data, building basic models, and creating visualizations to communicate findings to senior staff. Ideal candidates have up to 3 years of relevant experience and are proficient in Python, R, SQL, and data visualization tools.

Qualifications

• Up to 3 years of relevant data analysis or modeling experience.
• Experience collecting, cleaning, and preparing data for analysis.
• Ability to explain analytical findings clearly to senior staff.

Responsibilities

• Assist senior and journeyman analysts in statistical analysis, data collection, and data organization.
• Help determine which datasets are available and relevant for TA or program evaluation tasks.
• Collect, categorize, clean, and prepare data for analysis, modeling, and reporting.
• Support development, testing, and refinement of algorithms and models under supervision.
• Create basic data visualizations to communicate trends and recommendations.
• Assist with quality-assurance checks to ensure analytical accuracy and error-free data outputs.
• Prepare summaries, slide decks, reports, and visual dashboards for senior review.
• Ensure all analytical work aligns with DOE/CMEI guidance and supports federal Technical Assistance objectives.

Skills

Statistics knowledge

Data preparation

Programming (Python/R/SQL)

Communication

Data visualization basics

Attention to detail

Tools

SQL

Python

R

Tableau/Power BI

Excel

Salesforce familiarity

Job description

STI Federal is seeking a Data Scientist, Level 1 for a fully remote nationwide position in the United States. The role focuses on supporting data analysis, reporting, and model development for federal programs.

Responsibilities include collecting and cleaning data, building basic models, and creating visualizations to communicate findings to senior staff. Ideal candidates have up to 3 years of relevant experience and are proficient in Python, R, SQL, and data visualization tools.