Job Description
SAIC is seeking a Lead Data Scientist to join our Data Modeling Team. This position is located in Mclean, VA and requires a TS/SCI with polygraph.
Qualifications
- Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience.
- 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.
- TS/SCI with polygraph.
Target salary range: $240,001 - $280,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.