Data Scientist

Swift•McLean, VA

9d•Onsite

About The Position

Swift is a privately held, mission-driven and employee-focused services and solutions company headquartered in Reston, VA. Our capabilities include Software Development, Engineering & IT, Data Science, Cyber Enablement, Logistics, and Training. Founded in 2019, Swift supports Civilian, Defense, and Intelligence Community customers across the country and around the globe. We are looking for a skilled Data Scientist to join our dynamic team. You will collaborate with cross-functional teams to support data-driven applications and analytics, ensuring efficient data flow and accessibility. The ideal candidate will thrive at the intersection of technical execution and program delivery, with experience across data engineering, data science, and stakeholder engagement. We have Data Scientist positions across McLean, VA; Reston, VA; Herndon, VA; and Chantilly, VA.

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
Experience implementing and maintaining relation database security
Expertise in Performance tuning, database indexing, Query optimization and exception handling.
Proficient in working with views, triggers, and stored procedures
Experience in developing, creating, and modifying data structures and load routines for business use
Hands-on experience with AWS data services and familiarity with data visualization tools such as Tableau, Power BI
Experience with API development and integration
Knowledge of 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
Background working in agile environments and handling full data project lifecycle
Experience supporting cloud-based or containerized deployment (e.g., Docker, Apache Airflow)
US Citizenship and an active TS/SCI with Polygraph security clearance required

Nice To Haves

Experience designing, developing, and deploying AI and Generative AI models and algorithms
Experience 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

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
Develop 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
Provide technical input and system design support for efforts involving large-scale, multi-source data processing and architecture planning
Optimize and troubleshoot database functionality for existing applications