Data Scientist - SME (22760)

BE / RenXTech; McLean (VA); On-site; USD 210,000 - 245,000; Full time

Job summary

RenXTech seeks a Data Scientist (SME level) with 5+ years in ECL and HPCC, plus data modeling and large-scale parallel processing capabilities. The role requires Python, SQL, and other languages to develop and validate analytic methods across clustered computing environments.

The candidate must be a U.S. citizen with an active TS/SCI clearance and polygraph, and able to manipulate high-volume structured and unstructured data for mission-relevant analytic reporting.

Qualifications

• Must be a U.S. Citizen.
• Active TS/SCI clearance with Polygraph.
• 5+ years experience with ECL and HPCC.
• Experience applying analytic techniques to large datasets.
• Proficiency with Python, C, SQL for large-scale processing.

Skills

ECL

HPCC

Data modeling

Parallel processing

Python

SQL

C

Java

Education

STEM background

Education or practical STEM experience

Tools

R

Pig

Job description

Job Details

Job Location: McLean, VA 22043

Position Type: Full Time

Job Category: Intelligence Operations Support

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

Qualifications

• 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.