Senior Principal Data Scientist (R-19518)
Skills Needed:
• 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.
Education Needed:
- Bachelors Degree - Required
- Master and/or PhD Degree - Highly Preferred
Skills
As published by lever · 18 questions
Basics
Resume/CV, Full name, Pronouns, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL, Portfolio URL, Twitter URL, Other website
Short answers (8)
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- Optional: If you have relevant certification(s) and/or licensure(s), you may list them here. optional
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- If hired, from which US state or territory would you work? optional
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- Did a current Dun & Bradstreet employee influence you to apply or refer you to the company/role?
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- Are you a current or former employee of KPMG?