Senior Cyber Data Scientist - High-Impact Analytics

Talentify; Fort Meade (MD); On-site; USD 90,000 - 130,000; Full time

Job summary

Talentify is recruiting for a Senior Data Analytics position under the Cyber Excepted Service to support US Cyber Command operations from the DISA EIC/ENTRPRS INTEGR AND INNOV CTR. The role is in the Professional Work Category, Senior level, and requires U.S.

citizenship and security clearance eligibility. Responsibilities include leading data analyses, developing operational concepts, and building high-performance data processing tools to improve data quality, while coordinating across program

Qualifications

• Must be a U.S. Citizen.
• Males born after 12-31-59 must be registered or exempt from Selective Service.
• Security clearance requirement; favorable suitability review may be required.

Responsibilities

• Performs a broad range of data analyses assignments entailing unique problems, creativity, innovative use of techniques, advance approaches and or new technology.
• Leads the development and documentation of operational concepts and strategies for assigned programs/projects.
• Develops and automates large scale, high-performance data processing systems and tools to improve data quality.
• Plans and conducts statistical data analytics projects and/or studies to evaluate, design, and tabulate statistical sampling plans and analytical procedures and processes.
• Participates in meetings, conferences, briefings, and seminars related to data analytics program planning, technologies, and support system concepts.

Job description

Talentify is recruiting for a Senior Data Analytics position under the Cyber Excepted Service to support US Cyber Command operations from the DISA EIC/ENTRPRS INTEGR AND INNOV CTR. The role is in the Professional Work Category, Senior level, and requires U.S.

citizenship and security clearance eligibility. Responsibilities include leading data analyses, developing operational concepts, and building high-performance data processing tools to improve data quality, while coordinating across program