Backend Developer

IBM - Reston, VA

Full-time - Mid Level

Reston, VA

Computer and Electronic Product Manufacturing

About the position

As a Data Scientist at IBM, you will play a crucial role in transforming client data into tangible business value. This involves analyzing information, communicating outcomes, and collaborating on product development to enhance algorithm performance and data quality. You will work in a polyglot database environment, extend event-driven micro-services, and integrate new technologies to meet stakeholder needs.

Responsibilities

• Improve algorithm performance and data quality.
• Incorporate new datasets and enable new analytics.
• Maintain a polyglot database environment.
• Extend event-driven micro-services.
• Interface with clients, stakeholders, military personnel, and data providers to ensure stakeholder buy-in.
• Populate backlog for future innovation.

Requirements

• US Citizen with active TS//SCI clearance or immediate eligibility according to JPAS security database.
• 2+ years of Python programming experience.
• 2+ years of experience architecting, designing, or programming applications in hybrid cloud or on-prem environments.
• Experience with NoSQL database technology.
• Experience with custom ETL development.
• Experience with designing algorithms to infer relationships between events or entities.
• Experience with designing validation and/or diagnostic approaches to ensure strong data quality.

Nice-to-haves

• Experience coding in operational military and/or intelligence networks or settings.
• Experience with MongoDB.
• Experience with Celery or analogous asynchronous task queue technologies.
• Experience with algorithmic development that merges, standardizes, and links related data sources.
• Skills with implementing and customizing ElasticSearch for text search use cases.
• Experience with CI/CD tools (e.g., Azure DevOps, Jenkins).
• Experience with gathering operational and intelligence data from classified DoD systems.
• Experience with national or military intelligence capabilities and their use.
• Experience with transitioning on-prem capabilities to cloud.
• Experience with natural language processing (NLP) or other techniques to extract value out of unstructured data.
• Data visualization experience using JavaScript (such as Chart.js or D3).
• Experience with MVC frameworks (e.g., React.js), Node.js, and Web API design.

Benefits

• Opportunities for professional development and learning.
• Access to cutting-edge technology and tools.
• Collaborative work environment with diverse teams.