POLY REQUIRED

Falls Technology•McLean, VA

2d•Onsite

About The Position

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.

Requirements

Active TS/SCI clearance with Polygraph.
Minimum 5 years of hands-on ECL development experience.
Strong experience working with HPCC Systems and clustered computing environments.
Demonstrated experience designing and implementing data models.
Experience processing and analyzing large-scale datasets.
Experience developing methodologies and algorithms supporting complex analytic requirements.
Experience with parallel or distributed data processing.
Experience with one or more of the following: Python, R, SQL, Java, C, Pig
Strong analytical and problem-solving skills.
Ability to work directly with technical and mission stakeholders to translate requirements into scalable data solutions.

Nice To Haves

Advanced experience optimizing ECL workloads and HPCC Systems performance.
Experience working with complex, highly interconnected datasets.
Experience developing reusable data models and analytic frameworks.
Experience with entity resolution, relationship analysis, or large-scale data correlation.
Experience integrating data from multiple structured and unstructured sources.
Experience supporting data science and analytics within mission environments.
Experience working with distributed or massively parallel computing architectures.
Experience with cloud-based data processing and analytics technologies.
Relevant data science, data engineering, cloud, or analytics certifications.

Responsibilities

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.