Jobs · Engineering · Virginia

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

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