Planet Technologies is looking for a Mid-level Data Scientist to support impactful projects that make a difference for our country by building, maintaining, and improving dashboards, applications, and automations, connecting to APIs, system-to-system connections, and manual data transfers for ETL, building predictive risk models using statistical analysis, applying AI/ML to extract insights from unstructured documentation, developing and carrying out full-service data calls, including data normalization and visualization, creating business intelligence analysis and visualizations for management, improving methodologies and tools for risk assessment, researching and recommending business data storage/integration solutions, developing user guides and documentation for BI products, and incorporating data science tools (SQL, R, Python, etc.) into services.
Requirements
- Strong proficiency with Power Platform, SharePoint, and InfoPath required.
- 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).
- Experience connecting to and manipulating data from federal systems preferred.
- Incorporates data science tools (SQL, R, Python, etc.) into services.
Responsibilities
- 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.
Other
- Ability to work on site 5 days per week
- Ability to hold and maintain a Top-Secret level clearance
- Federal Agency Clearance Requirements may require up to a 10-year background investigation - US Citizenship (clearable) is required.
