Nyla Technology Solutions is seeking Data Scientist/Data Engineers to support the modernization and enhancement of mission-critical data systems within the U.S. Federal Government, focusing on developing data science, data engineering, and analytics solutions to drive efficiency, automation, and decision-making.
Requirements
- Proficiency in data manipulation, analysis, and visualization
- Strong understanding of AI/ML algorithms and techniques
- Proficiency in Natural Language Processing (NLP) and Text Analysis
- Experience with ETL (Extract, Transform, Load) processes.
- Experience building and integrating relational and document databases (SQL, NoSQL, MongoDB).
- Programming proficiency with Python, SQL, Scala, R, Databricks, Tableau, Qlik, and Git.
- Experience working within cloud environments such as AWS or Azure.
Responsibilities
- Design, develop, implement, and enhance enterprise data models and standards, including data flow mapping and analysis for improved data delivery.
- Build and maintain data architectures and pipelines for structured and unstructured data.
- Apply advanced analytics, machine learning, predictive modeling, and visualization techniques to derive actionable insights.
- Support the discovery, definition, scoping, development, testing, and integration of AI/ML solutions into workflows, applications, and systems.
- Develop BI dashboards and visualization tools to communicate insights effectively.
- Perform data mining, modeling, and mapping to support decision-making and reporting.
- Develop and manage processes to transform raw structured and unstructured data, ensuring accessibility, security, and usability.
Other
- Identify, document, and ensure alignment of data practices with mission and program requirements.
- Collaborate with technical and non-technical stakeholders to ensure solutions meet operational needs.
- Familiarity with DevSecOps and continuous integration/deployment (CI/CD) workflows.
- Strong knowledge of data engineering best practices and data science methodologies.
- Excellent communication, documentation, and stakeholder management skills.
