Data Scientist SME

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

Job summary

RenXTech in Reston, VA seeks a Data Scientist SME with active TS/SCI clearance and Polygraph to tackle mission-critical analytics in clustered computing environments.

You will apply ECL/HPCC alongside Python, SQL and other languages to model data, validate methods, and produce actionable analytic reporting for sponsors. U.S. citizenship required; 5+ years of experience in ECL/HPCC preferred.

Qualifications

• U.S. citizenship and active TS/SCI with polygraph.
• Demonstrated 5+ years in ECL/HPCC environments.
• Experience with large-scale parallel data processing.
• Strong data modeling capabilities for mission-relevant analytics.

Responsibilities

• Develop, validate, and apply analytic methodologies for clustered computing environments.
• Manipulate high-volume structured and unstructured data to produce analytic products.
• Leverage Python, SQL, and other languages to support sponsor data analysis.

Skills

Data modeling

Data Scientist

ECL

HPCC

Python

R

Pig

Java

C

SQL

Analytic judgement

Education

STEM field

Tools

ECL

HPCC

Job description

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.comRenXTech, 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 environmentsMust be a U.S. CitizenMust have an Active TS/SCI clearance with PolygraphDemonstrated 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 environmentsDemonstrated 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.comLinkedin: https://www.linkedin.com/company/renegade-technology-llcBE, 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.