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Rapid Cycle Solutions, LLC

Data Scientist

mclean, VA

Check who can apply and the requirements below before continuing.

About this opportunity

Rapid Cycle Solutions, LLC lists this Data Scientist opportunity in mclean, Virginia. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Location: McLean, VA

Schedule: Full-Time

Work Location: On-Site

Shift: Day Job

Travel: No

Minimum Clearance Required: TS/SCI with FS Poly

Benefits:

Rapid Cycle Solutions LLC (RCS) is an innovative small business providing IT and management consulting services to the U.S. Federal Government and commercial clients. We have unique strengths in complex, cross-organizational solution analysis, design, development, implementation, and change management supporting enterprise requirements. Our team of professionals has deep consulting backgrounds supporting the unique needs of our clients. Our team members have proven experience leading strategic initiatives within the civilian Government agencies.

*Note: Please ensure you meet the Security Clearance obligations before applying to optimize your consideration for this and other employment opportunities with RCS.

RCS is seeking a Data Scientist (Data Modeler) to apply and enhance their skills with developing, running, and analyzing results of complex queries against massive scale data stores.

This position requires the candidate to meet specific Security Clearance obligations to work onsite in McLean, VA.

What you will do:

Manipulating high-volume structured and unstructured data to perform analysis and generate reporting/products.

Using analytic techniques and tools and All-Source data analysis to provide technical targeting analytic support to the Agency.

Performing large scale parallel processing of data, and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments.

Required Qualifications/Education:

Clearance: Active TS/SCI clearance with Full Scope PolygraphU.S. Citizenship required (NO EXCEPTIONS)

ECL and HPCC (5 years minimum in ECL)

Using analytic techniques and tools performing technical targeting analytic support across a spectrum of mission spaces to include applying analytic judgement to data presented.

Manipulating high-volume structured and unstructured data to perform analysis and generate sound mission relevant analytic reporting/products.

Using computer languages (e.g., Python, C, SQL) to perform large-scale parallel processing of the data. These languages complement ECL.

Performing large scale parallel processing of data, and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments

Data modeling.

Educational or practical experience in a STEM (Science, Technology, Engineering or Mathematics) field.

RCS is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

All RCS work locations are drug-free workplaces.

RCS considers several factors which can influence a final salary including but not limited to; skill set relevancy, work experience, geographic location, security clearance, education, certifications, training, and other business and organizational requirements. At RCS we offer competitive compensation packages, benefits, and learning and development opportunities. Individuals are typically not hired at or near the top of the salary range being that compensation decisions are dependent on individual circumstances. The salary range listed for this position is a reasonable estimate taking into consideration the required qualifications.

RCS uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities as an applicant, please visit

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Worksite address

mclean, VA, 22107, US

Who can apply

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