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Planet Technologies

Posted 2 months ago

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Data Scientist, Mid level

WashingtonOn-siteFull-time

AI Summary

Mid-level Data Scientist builds and improves dashboards, predictive risk models, and BI visualizations; connects to APIs and federal systems; develops ETL processes, documentation, and data storage recommendations.

About this role

Planet Technologies, the Nation’s leading Microsoft services provider to the public sector, is looking for a highly motivated individual to join our growing team as Mid level Data Scientist. In this role, you will be supporting impactful projects that make a difference for our country.

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.
  • Researches and recommends business data storage/integration solutions.
  • Develops user guides and documentation for BI products.
  • Incorporates data science tools (SQL, R, Python, etc.) into services.

    • Qualifications

  • 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.
  • In absence of years of experience, certifications or past work may be used.
  • Ability to work on site 5 days per week
  • An active Top-Secret level clearance is required
  • #CJ

    • Skills

    AnacondaInfoPathMachine LearningPower BIPower PlatformPythonRSharePointSPSSSQL

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