Data Scientist

PLEASE READ THOROUGHLY TO AVOID REJECTION

Eligibility:

• Open to both C2C and W2 candidates.
• Location: Hybrid (Vienna, VA, Pensacola, FL, or Winchester, VA).

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 DevOps.
• Understanding of Cybersecurity Frameworks and related data.