Senior Principal Data Scientist – AI Lead

Responsibilities

The Senior Principal Data Scientist - AI Lead will be the point of contact for Public Sector / Government stakeholders and will be responsible for end-to-end AI solution delivery.

This role will partner with U.S. government agencies on programs that depend on trusted entity data, validation, and risk insight.

• 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.