Public Sector AI Lead & Senior Data Scientist

Dnb; Vienna (VA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Generous PTO

Parental leave 16 weeks

Paid sick time

Education assistance

Volunteer days

401k with company matching

Health & wellness benefits

Medical, dental & vision insurance

Job summary

Dun & Bradstreet is seeking a Senior Principal Data Scientist – AI Lead to drive end-to-end AI solution delivery for public sector programs. This leader will partner with U.S. government agencies on projects focused on trusted data, validation, and risk insights.

The role requires extensive data science experience, leadership, and the ability to align AI initiatives with business objectives, while guiding teams across the full ML lifecycle.

Qualifications

• Bachelor's degree required.
• Master or PhD highly preferred.

Responsibilities

• Serve as the point of contact for Public Sector / Government stakeholders and drive end-to-end AI solution delivery.
• Lead and mentor teams, manage the full software development lifecycle for AI initiatives.
• Partner with U.S. government agencies on programs leveraging trusted entity data, validation, and risk insights.
• Design and implement AI/ML solutions with a focus on automation, scalability, and operational excellence.
• Communicate complex concepts to both technical and non-technical stakeholders and foster cross-functional collaboration.

Skills

Data analysis

AI/ML development

Leadership

Programming: Python/Java/Go

Cloud platforms

Strategic thinking

Communication

Problem solving

Ethical AI

IT operations

Education

Bachelor's degree

Master/PhD preferred

Job description

Dun & Bradstreet is seeking a Senior Principal Data Scientist – AI Lead to drive end-to-end AI solution delivery for public sector programs. This leader will partner with U.S. government agencies on projects focused on trusted data, validation, and risk insights.

The role requires extensive data science experience, leadership, and the ability to align AI initiatives with business objectives, while guiding teams across the full ML lifecycle.