Senior Data Scientist & AI Strategy Lead (Telework Eligible)

Defense Counterintelligence and Security Agency (DCSA)

Hanover (MD)

Hybrid

USD 130,000 - 170,000

Full time

5 days ago
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Job summary

The Defense Counterintelligence and Security Agency (DCSA) NBIS division is seeking a Supervisory Staff Data Scientist (GG-15) to lead Enterprise AI and Data Architecture. You will guide ML research and advise senior DoW leaders on analytic strategy and data governance across mission areas.

Responsibilities include directing data mining, modeling, and algorithm development; coordinating with other agencies; managing budgets and schedules; and building a multidisciplinary team to deliver

Qualifications

  • Requires degree in a math, stats, CS or data science field at least baccalaureate level.
  • Experience in data mining, modeling, and AI/ML is essential.
  • Certifications or DAWIA/DCIPS related is expected within set timelines.

Responsibilities

  • Lead expert-level data science initiatives including AI/ML and risk analysis.
  • Direct data mining, modeling, and algorithm development with government partners.
  • Advise leadership on political, security and technology trends affecting data programs.
  • Oversee budgets, scheduling, and multidisciplinary team coordination.

Skills

Data science
AI/ML
Leadership
Data analysis
Project management

Education

Bachelor's degree in Mathematics, Statistics, Computer Science, or Data Science
Education/Experience combination per standard

Tools

Cloudera Data Platform
Cloudera Data Flow
Tableau
DataWalk
Programming (Java/JavaScript, Python, C/C++, R)

Job description

The Defense Counterintelligence and Security Agency (DCSA) NBIS division is seeking a Supervisory Staff Data Scientist (GG-15) to lead Enterprise AI and Data Architecture. You will guide ML research and advise senior DoW leaders on analytic strategy and data governance across mission areas.

Responsibilities include directing data mining, modeling, and algorithm development; coordinating with other agencies; managing budgets and schedules; and building a multidisciplinary team to deliver

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