Data Scientist

About the role

The candidate will be responsible for enhancing their skills in developing, running, and analyzing complex queries against massive scale data stores. They will also focus on increasing their expertise in:

• Manipulating high-volume structured and unstructured data to perform analysis and generate reporting/products.
• Using analytic techniques and tools for all-source data analysis to provide technical targeting analytic support to the Sponsor Agency.
• Performing large-scale parallel processing of data, and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments.

Responsibilities

Demonstrated experience with ECL and HPCC (5 years minimum in ECL)

Demonstrated experience using analytic techniques and tools to provide 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 sponsor's 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.

Requirements

These skills are required:

• 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 sponsor's 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.