Data Scientist
The Swift Group, LLC · Chantilly, VA · 3 wk ago
On-siteEngineering$50k–$290k/yrFull-time
Responsibilities
- Analyze and model complex datasets to identify trends, discover anomalies, and support investigative activities
- Design and develop interactive dashboards and data visualizations using to communicate key performance metrics
- Analyze large amounts of complex disparate datasets to extract insights and drive financial decision-making
- Create and standardize project templates and reusable code packages for data science and analytics pipelines
- Build and maintain data models using a variety of query languages
- Build and maintain data infrastructures that support machine learning workflows, including data storage, feature engineering, and model training
- Support software deployment and data integration workflows across classified and unclassified networks
- Optimize and troubleshoot database functionality for existing applications
Requirements
- 5+ years of experience in data engineering, data analysis, or related fields
- Solid understanding of relational database normalization and principles and experience optimizing database performance particularly RDS for PostgreSQL
- Experience with physical and relational data modeling and implementing data strategies
- Expertise in Performance tuning, database indexing, Query optimization and exception handling
- Proficiency in working with views, triggers, and stored procedures
- Hands-on experience with AWS data services and familiarity with data visualization tools such as Tableau, Power BI
- Experience with API development and integration
- Experience with data security and compliance standards
- Ability to work collaboratively in a team environment and communicate effectively with stakeholders
- Proficiency in Python for data analysis, modeling, and automation
- Strong understanding of data science workflows, anomaly detection, and analytical modeling
- Demonstrated experience using Git, Jira, and other collaborative development tools
- Experience supporting cloud-based or containerized deployment (e.g., Docker, Apache Airflow)
Desired Experience
- Experience designing, developing, and deploying AI and Generative AI models and algorithms
- Collaborating with cross-functional teams to identify and solve business challenges using AI technologies
- Researching and staying up-to-date with the latest advancements in AI and GenAI
- Experience with AWS Cloud Data Migration Services
- AWS certifications related to data engineering or architecture