Data Scientist IV

Company: PlanIT Group, LLC

Location: Reston, VA (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-09-13

About this role

Job Description: Data Scientist


Seeking a Data Scientist with expertise in AI technologies, cloud environments, and enterprise systems monitoring to support our federal client's modernization efforts. In this critical role, the candidate will contribute to the IT Performance Achievement - Service Management Office of the U.S. Postal Service (US Government Client), providing Subject Matter Expert (SME) services across service level management, performance analytics, problem resolution, and data-driven continuous service improvement.


The ideal candidate must have strong analytical capabilities, hands-on experience with AI and cloud platforms, intermediate to advanced proficiency in Splunk, and a solid understanding of network technologies and their impact on API performance and latency — enabling them to proactively identify issues and propose actionable solutions across a large, complex enterprise environment.


Key Responsibilities

  • Analyze and model Incident, Problem, and Change trends to identify opportunities for service improvements.
  • Perform and interpret data studies and experiments involving new data sources or new uses for existing data sources.
  • Leverage Splunk dashboards, alerts, and search queries to detect, investigate, and resolve operational issues in real time.
  • Utilize cloud-native monitoring and observability tools (AWS CloudWatch, Google Cloud Operations, Azure Monitor) to identify and address performance gaps.
  • Develop analytics using data mining, statistical, forecasting, and modeling techniques.
  • Develop prototypes, proof of concepts, algorithms, predictive models, and custom analyses.
  • Determine new ways to improve data quality, search quality, and predictive capabilities.
  • Identify the right tools for data analysis, including tools external to the organization.
  • Leverage AI and machine learning to improve automation through data output, aggregation, analytics, algorithms, orchestration, and visualization.
  • Prov...

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