Data Scientist / Data Modeler - SME TS/SCI w/ POLY REQUIRED

Falls Technology LLC Location: McLean, VA Clearance: Active TS/SCI with Polygraph required

Falls Technology is looking for an experienced Data Scientist / Data Modeler SME to join our team supporting a mission-focused data and analytics environment in McLean, VA.

This is a senior, hands-on role focused on large-scale data processing, data modeling, and analytics within clustered computing environments.

We’re specifically looking for someone with deep experience using ECL and HPCC Systems , including at least five years of hands-on ECL development experience.

The ideal candidate combines strong data modeling skills with the ability to develop, validate, and implement methodologies for processing and analyzing large, complex datasets.

• Design, develop, and maintain large-scale data processing solutions using ECL and HPCC Systems.
• Develop and optimize ECL code for high-volume, parallel data processing.
• Design and evolve data models supporting complex mission and analytic requirements.
• Analyze large and diverse datasets to identify relationships, patterns, trends, and actionable information.
• Develop, validate, and implement methodologies supporting analytic requirements within clustered computing environments.
• Work with analysts, engineers, developers, and mission users to understand data requirements and translate them into technical solutions.
• Develop processes for transforming, integrating, cleansing, and preparing data for downstream analytics.
• Evaluate data quality and identify gaps, inconsistencies, and opportunities to improve data usability.
• Support the development and optimization of scalable data pipelines and processing workflows.
• Develop supporting tools and analytics using Python, R, SQL, Java, C, or similar technologies as appropriate.
• Document data models, methodologies, processing logic, and technical solutions.