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

Stech Technology UK Limited; McLean (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

Falls Technology LLC in McLean, VA seeks a senior Data Scientist / Data Modeler SME to lead large-scale data processing, modeling, and analytics in a mission-focused environment. The role emphasizes hands-on ECL development and HPCC Systems expertise to translate complex data requirements into scalable solutions for analysts and mission users.

The ideal candidate collaborates with engineers and developers to optimize pipelines, ensure data quality, and document processing logic for reuse.

Qualifications

• Active TS/SCI clearance with polygraph.
• Minimum 5 years of hands-on ECL development.
• Experience with HPCC Systems and clustered computing environments.
• Experience designing and implementing data models.
• Experience processing and analyzing large-scale datasets.
• Experience developing methodologies and algorithms for complex analytics.

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 for complex mission analytics.
• Analyze large and diverse datasets to identify relationships and trends.
• Develop, validate, and implement methodologies for analytic requirements in clustered environments.
• Collaborate with analysts, engineers, developers, and mission users to translate requirements into scalable solutions.
• Develop processes for transforming, integrating, cleansing, and preparing data for downstream analytics.
• Evaluate data quality and identify gaps to improve usability.
• Support development and optimization of scalable data pipelines and workflows.
• Develop analytics tools using Python, R, SQL, Java, C, or Pig as appropriate.
• Document data models, methodologies, and processing logic.

Skills

ECL development

HPCC Systems

Data modeling

Python

R

SQL

Java

C

Pig

Analytical skills

Tools

HPCC Systems

Job description

Data Scientist / Data Modeler – SME

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.

What You’ll Do

• 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.

Required Qualifications

• 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.

Desired Qualifications

• 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.

Why Falls Technology

Falls Technology is a small, growing technology company focused on delivering modern software, cloud, data, and analytics solutions for challenging national security missions.

Our size allows our technical people to stay close to the mission and have a meaningful impact on the solutions being built. We’re looking for experienced engineers and data professionals who enjoy solving difficult problems and want their work to matter.

We offer competitive compensation, strong benefits, and the opportunity to work alongside an experienced technical team on challenging mission problems.

Falls Technology LLC is an Equal Opportunity Employer.