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# Data Scientist

- **Company:** Planet Technologies
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Salary:** $90,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Extract Transform Load (ETL), Data Normalization, R (Programming Language), SPSS (Software), Microsoft InfoPath, Python (Programming Language), MATLAB, Machine Learning, NumPy, Power BI, Microsoft SharePoint, SQL Databases, Weka, Anaconda, Data Processing, Enterprise Integration
- **Published:** September 9, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9151696/data-scientist

## About the Role

* Must have 5 years of work experience
 * Strong proficiency with Power Platform, SharePoint, and InfoPath required.
 * Experience creating and managing reporting in Power BI
 * Excellent understanding of machine learning techniques and algorithms.
 * Experience with common data science toolkits (R, Weka, NumPy, MATLAB, etc.) and BI tools (Power BI, Anaconda, SPSS).
 * Previous experience connecting to and manipulating data from federal systems preferred.
 * Ability to work on site 5 days per week
 * An active Top-Secret level clearance is required

## Description

* Builds, maintains, and improves dashboards, applications, and automations.
 * Connects to APIs, system-to-system connections, and manual data transfers for ETL.
 * Builds predictive risk models using statistical analysis.
 * Applies AI/ML to extract insights from unstructured documentation.
 * Develops and carries out full-service data calls, including data normalization and visualization.
 * Creates business intelligence analysis and visualizations for management.
 * Improves methodologies and tools for risk assessment.
 * Researches and recommends business data storage/integration solutions.
 * Develops user guides and documentation using Power BI
 * Incorporates data science tools (SQL, R, Python, etc.) into services., Salaries for Data Scientist, Mid at Planet Technologies range from $90,000 and $125,000. Several factors will impact final pay offered to a successful candidate including but not limited to the type and years of experience within the job, clearance level, the type of years and experience within the industry, education, training, etc.