Job Openings
Data Scientist
About the job 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.