Data Scientist SME (23053)
BE / RenXTech
Sourced from BE / RenXTech's careers site · Posting last seen September 17, 2026
RenXTech | People-Focused. Mission-Obsessed.
At RenXTech, we're not just different, we're better. We handpick talent, ensuring every team member aligns with our mission and values. This selective approach means you’re surrounded by the best in the industry, working on impactful projects that match your skills and passion.
Join us and experience a workplace that truly puts you first.
Find out more: www.renxtech.com
RenXTech, a wholly owned subsidiary of Buchanan & Edwards, is an Equal Opportunity Employer. The information collected by this application is solely to determine suitability for employment, verify identity, and maintain employment statistics on applicants.
To keep breaking barriers and redefining what's possible, we’re looking for candidates with the following exceptional technical capabilities:
- Seeking a Data Scientist (SME level) with experience in ECL and HPCC (5 years minimum in ECL) // Data Modeling // Python, R, Pig, Java, C, or SQL to perform large scale parallel processing of data // Developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments
- Must be a U.S. Citizen
- Must have an Active TS/SCI clearance with Polygraph
- Demonstrated experience with ECL and HPCC (5 years minimum in ECL)
- Demonstrated experience using analytic techniques and tools performing technical targeting analytic support for this Sponsor across a spectrum of mission spaces to include applying analytic judgement to data presented.
- Demonstrated experience manipulating high-volume structured and unstructured data to perform analysis and generate sound mission relevant analytic reporting/products.
- Demonstrated experience using computer languages (e.g., Python, C, SQL) to perform large scale parallel processing of the sponsors data. These languages complement ECL.
- Demonstrated experience performing large scale parallel processing of data, and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments
- Demonstrated experience with data modeling.
- Educational or practical experience in a STEM (Science, Technology, Engineering or Mathematics) field.
Target salary range: $210,000 - $245,000.
*The estimate displayed is the typical salary range for this position based on experience and other factors.
Website: http://www.renxtech.com
Linkedin: https://www.linkedin.com/company/renegade-technology-llc
BE, and its wholly owned subsidiary RenXTech, are trusted partners to the national security community, delivering future-forward solutions and cutting-edge support across cyber, technical, analytical, intelligence, and mission operations. Headquartered in McLean, Virginia, we combine deep mission understanding with innovative technologies to help clients meet their most vital challenges. We are committed to providing equal employment opportunities in accordance with all applicable federal anti-discrimination laws. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other status protected by law.
Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. Please inform the Company's personnel representative if you need assistance completing any forms or to otherwise participate in the application process.
Please provide complete information. An incomplete application may affect your consideration for employment.
Skills
- ECL
- HPCC
- Python
- R
- Pig
- Java
- C
- SQL
- data modeling
- parallel processing
- cluster computing
Summary
Perform large-scale data modeling, processing, and analytics supporting mission objectives.
Job title
Data Scientist SME (23053)
Experience
5+ years
Industry
defense
Location
Reston, VA · On-site
Salary
$210k–$245k
Listed in the job description
Management role
No
- Sep 17, 2026 First posted
- Sep 17, 2026 Live now
As observed on the employer's careers site by ApplyAll. We show every change we've seen including removals.
Posting history
- Sep 17, 2026 First posted
- Sep 17, 2026 Live now
As observed on the employer's careers site by ApplyAll. We show every change we've seen including removals.
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