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Data Scientist

Full Time

Job Overview

REQUIRED: Active TS/SCI with Full Scope Polygraph clearance
LOCATION: Full-time, onsite in McLean, VA

We are seeking a Data Scientist with hands‑on experience in ECL, HPCC, and large‑scale analytic environments to support technical targeting and data exploitation efforts.  You should be skilled at manipulating high‑volume structured and unstructured datasets, generating analytic products, and developing methodologies that operate efficiently across clustered computing architectures.   

Who We Are:
We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management.  With a competitive salary and industry-leading benefits, Ardent Principles offers more than just a job - we offer a career path filled with growth and opportunities. Join us and let's shape the future together!

Passionate Integrity, Driven by Excellence
"Ardent Principles" signifies our unwavering commitment to excellence, driven by a profound passion and a strict adherence to ethical values. We believe that happy employees make for happy clients. Our mission is to act as a bridge between satisfied clients and fulfilled employees, ensuring that your job and well-being are our top priorities because your satisfaction leads to the success of our clients.

Key Responsibilities

In this challenging yet rewarding role, you are an integral part of what brings our Company's mission to life. You must have the following required skills, certifications and demonstrated experience in and/or with:
  • ECL and HPCC.
  • Using analytic techniques and tools performing technical targeting analytic support for the Sponsor.
  • Manipulating high-volume structured and unstructured data to perform analysis and generate reporting/products.
  • Using computer languages (e.g., Python, R, Pig, Java, C, SQL) to perform large scale parallel processing of data.
  • Performing large scale parallel processing of data, and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments.

Highly Desired Qualifications

Other skills and demonstrated experiences that are highly desired but not mandatory to perform the work, include:
  • Educational or practical experience in a STEM (Science, Technology, Engineering or Mathematics) field.

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