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- 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.