Data Scientist (1)

PLEASE READ THOROUGHLY TO AVOID REJECTION.

• Eligibility: Open to both C2C and W2 options.
• Location: Hybrid work model, reporting to Vienna, VA.
• Minimum of 5 years of relevant experience required.
• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field (or equivalent work experience).
• Green card/USC Required - no sponsorship.

Role Overview:
We are seeking an experienced Data Scientist to join our team on a multiyear contract. The ideal candidate will have expertise in data analysis, SQL/Python programming, and data visualization tools to deliver impactful insights to a wide range of consumers. This role involves collaborating with cross-functional teams, developing data solutions, and implementing processes using on-premises and cloud computing infrastructures.

Key Responsibilities:

• Build and enhance SQL/Non-SQL-based data analytics processes through all phases of development and upkeep.
• Analyze large-scale complex numerical and textual data to identify trends and unlock insights.
• Develop and maintain reporting dashboards to deliver actionable data insights.
• Collaborate with data engineers, machine learning engineers, and data visualizers to deliver projects.
• Utilize Microsoft Azure Cloud Computing Infrastructure and on-premises solutions for data science projects.
• Perform other duties as assigned.

Mandatory Qualifications:

• Minimum of 5 years of experience in:
  • Data analysis
  • SQL and Python programming
  • Plotly Enterprise or Power BI development
• Strong understanding of database design, data mining, and data modeling concepts.
• Experience with ETL processes and data integration techniques.
• Proven ability to create effective data visualizations using Power BI and/or Plotly Enterprise.
• Advanced communication and presentation skills to effectively deliver technical and non-technical information to all levels of management.

Preferred Qualifications:

• Advanced degree in Computer Science, Mathematics, Physics, Statistics, or a related field.
• Expertise in Python, Jupyter Notebook/Lab, Visual Studio Code, or similar tools for large-scale data analysis.
• Experience with supervised/unsupervised machine learning model development (clustering, classification, regression).
• Familiarity with API endpoint configuration and data pipeline management.
• Knowledge of data governance principles and their implementation in data ingestion processes.
• Experience working with Agile principles and utilizing tools like Azure DevOps.
• Background in cybersecurity frameworks and related data management.