Padmi
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Dun & Bradstreet

business intelligence · D-U-N-S Number

Senior Principal Data Scientist - AI Lead - Government Sector (R-19518)

United States · HybridPosted 21 days ago
AI researchStaff+Employee Full Time
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• Data expertise: Strong skills in data analysis, manipulation, and processing for training and evaluating AI models.

• Experience leading large-scale digital transformations: In IT Operations for global

• 10+ years of professional Data science / ML/AI development experience with a preference working with Government / public sector clients

• Deep understanding of AI/ML Technologies: Solid grasp of machine learning, deep learning, NLP, and hands-on experience on AI automation.

• Leadership and team management: Proven ability to lead and mentor teams, foster innovation, and manage the full software development lifecycle.

• Strong programming skills: Expertise in languages like Python, Java, or Go, essential for developing and deploying AI solutions.

• Cloud platform knowledge: Familiarity with AWS, Azure, or GCP for deploying and scaling AI applications.

• Strategic thinking and vision: Capability to identify opportunities, define technical roadmaps, and align AI solutions with business objectives.

• Excellent communication and collaboration: The ability to communicate complex concepts to both technical and non-technical stakeholders and foster cross-functional teamwork.

• Problem-solving and critical thinking: Exceptional analytical skills to identify challenges, develop innovative solutions, and optimize system performance.

• Adaptability and continuous learning: Commitment to staying updated with the rapidly evolving AI landscape and embracing new technologies.

• Ethical considerations and bias mitigation: Understanding and addressing the ethical implications of AI, ensuring fairness, transparency, and accountability.

• Significant experience in IT and solution architecture roles: with a focus on automation, infrastructure, or cloud.

• Proven track record of designing and implementing AI/ML solutions: Especially in IT operations, infrastructure management, or business process automation.

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