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Data Scientist

Job in Vienna, Fairfax County, Virginia, 22184, USA
Listing for: MTS Moose Tech Solutions
Full Time position
Listed on 2026-01-06
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Job Description & How to Apply Below
PLEASE READ THOROUGHLY TO AVOID REJECTION
  • Open to both C2C and W2 candidates.

Experience Required:

  • Minimum 5 years of experience in Data Analysis, SQL/Python Programming, and Plotly Enterprise or Power BI development.
Role Overview

The Data Scientist will develop and enhance data analytics processes, unlock insights from complex datasets, and deliver data-driven solutions in collaboration with a cross-functional team. The role involves utilizing both on-premises and Microsoft Azure Cloud Computing Infrastructures to build scalable solutions.

Key Responsibilities
  • Build and enhance Non-SQL/SQL-based data analytics processes through all project phases.
  • Analyze large-scale, complex numerical and textual data to identify trends.
  • Create and maintain reporting dashboards to deliver insights.
  • Collaborate with data engineers, machine learning engineers, and data visualizers.
  • Develop data science solutions on Microsoft Azure Cloud and on-premises infrastructures.
  • Perform other duties as assigned.
Qualifications

Mandatory:

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field (or equivalent work experience).
  • 5+ years of experience in:
    • Data Analysis.
    • SQL/Python Programming.
    • Plotly Enterprise or Power BI development.
  • Proficiency in database design, data mining, and data modeling.
  • Experience with ETL processes and data integration techniques.
  • Advanced skills in creating data visualizations.
  • Strong verbal, written, interpersonal, and presentation skills.

Preferred:

  • Advanced degree in Computer Science, Mathematics, Physics, Statistics, or a related field.
  • Expertise in Python, Jupyter Notebook/Lab, and Visual Studio Code.
  • Experience in supervised/unsupervised machine learning models.
  • Familiarity with API endpoint connection for complex data pipelines.
  • Knowledge of data governance principles.
  • Experience with Agile principles and tools like Azure Dev Ops.
  • Understanding of Cybersecurity Frameworks and related data.
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