--- title: 'Data Scientist at Swift' canonical: 'https://feeny.ai/job/data-scientist-swift-reston-m2256venjpvt' type: 'job' last_seen: '2026-09-05' --- # Data Scientist at Swift - **Company:** Swift - **Location:** Reston, VA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-06-04 - **Last confirmed live:** 2026-09-05 - **Apply:** https://jobs.gem.com/the-swift-group/am9icG9zdDpko47bwN1me4slIx4hDUjc ## Job description 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. 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 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 Desired Experience: - 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 Do you know anyone for this position, or other positions open at The Swift Group? We offer a $5,000 bonus for any referral candidate we hire, paid out at the new hire’s 90-day mark. We are not working with outside staffing agencies to fill this position, and we will not be accepting unsolicited resumes. All inquiries must go through the recruiting team. ## #LI-DI1 #Onsite ## About Swift ## Company Overview - **One-liner**: The Swift Group provides national security technology and mission support by combining experienced field operatives with expert technologists. - **Entity Type**: Private (no disclosed funding stage) - **Headquarters**: Reston, VA, USA - **Founded**: 2019 - **Founders**: Not publicly disclosed ## Core Business - **Primary industry/industries**: National security, defense, intelligence, cybersecurity, high-performance computing, training and logistics. - **Target customers**: U.S. Civilian, Defense, and Intelligence Community agencies (B2G). - **Mission or purpose statement**: “When national security leaders need something built quiet that hits loud, they turn to Swift.” — The company pairs field operators with technologists to solve complex national security challenges with speed, discretion, and precision. ## Products & Services For each major offering: - **HPC Research & Technical Advisement**: Specialized advisement for revolutionary high-performance computing systems supporting data-intensive missions. - **Software Development & Data Solutions**: Rapid prototyping, agile development, and applied data science tailored to mission needs. - **Cyber Enablement**: Network defense, offense, threat analysis, and resilience for enterprise and operational environments. - **Operations**: Mission planning and execution support delivered shoulder-to-shoulder with client teams anywhere in the world. - **Training & Mission Support**: Operator-led instruction and technical training across the full mission lifecycle. - **Energetics**: Advanced research, advisory, and deployment of energetic materials to improve system performance and operational effect. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (privately held). - **Key Metric**: Over **126 open positions** currently listed on the careers page, signaling rapid growth. - **Notable Investors/Partners**: Not publicly disclosed. - **Growt Signals**: Founded in 2019, now has multiple offices (Reston, Annapolis Junction, Chantilly, McLean, etc.) and supports customers across the U.S. and globally. High volume of active job postings. ## Competitive Advantages - **Operator-led approach**: Combines real-world field experience with cutting-edge engineering, reducing the gap between mission needs and technical solutions. - **Integration**: Unified teams of operators, engineers, and analysts work together, avoiding siloed tools. - **Discretion and trust**: Emphasizes low-profile, off-the-record work, earning deep trust from national security clients. - **Acountability**: Company culture of owning outcomes, with a flat, agile structure. ## Strategic Focus - **Current priorities**: Expanding capabilities in cyber, HPC, and data science while maintaining operator-driven agility. Continued support for sensitive, high-stakes missions across civilian, defense, and intelligence domains. ## Why Work Here - **Culture**: Mission-driven, employee-focused, with a strong sense of purpose. Values include transparency, integrity, service, and innovation. - **Work environment**: Low-profile, high-impact. Roles often require clearance and on-site presence at client locations (e.g., Chantilly, Annapolis Junction, Reston). Not fully remote; likely hybrid or on-site. - **Bnefits**: Comprehensive healthcare, wellness, financial, retirement, education, and time-off benefits. - **Success stories**: Clear career progression from analyst to chief architect, with wide pay bands (e.g., $50k–$290k) indicating room for growth and specialization. ## Sources 1. [theswiftgroup.com/company](https://theswiftgroup.com/company/) 2. [theswiftgroup.com](https://theswiftgroup.com/) 3. [careers.theswiftgroup.com](https://careers.theswiftgroup.com/) 4. 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