Data Scientist (Data Modeler/HPCC) - FUNDED

BRITTON GROUP, INC.
McLean, VA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

C (Programming Language) Java (Programming Language) Python (Programming Language) SQL Databases Data Processing Parallel Computation

Job description

Design, develop, and maintain data models; perform large-scale parallel data processing; develop and validate analytic methodologies; build and optimize ECL and HPCC workflows; translate analytic requirements into scalable technical solutions; test models for accuracy and performance; document methodologies and results.

Requirements

  • Minimum five years of ECL and HPCC Systems experience; strong data-modeling experience; experience with clustered computing and parallel processing; proficiency in Python, R, Pig, Java, C, and SQL; strong analytical and problem-solving skills.

About the company

The Britton Group is a premier provider of intelligence and national security solutions, specializing in mission-critical IT services, digital transformation, cybersecurity and specialized intelligence support. With over 25 years of experience delivering innovative, secure, and agile solutions to the federal government, The Britton Group stands as a trusted partner in the Intelligence Community (IC), the Department of Defense (DoD) and the Department of Homeland Security (DHS). Founded in 2013, we are proud to be an SBA certified WOSB and EDWOSB with our headquarters in the Washington, DC Metro area.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:14 min

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Wei Hu Wei Hu · World Congress 2024

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Defining stream data processing versus standard event processing

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Building lightweight alternatives to heavy voice models

Sohaib Ahmad Sohaib Ahmad · World Congress 2026 Europe

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Executing remote data exploration and model training

Mingshen Sun Mingshen Sun · World Congress 2024

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Evolution from key-value stores to distributed SQL

Wei Hu Wei Hu · World Congress 2025

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Addressing the competitive landscape of specialized hardware demands

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