PRINCIPAL DATA SCIENCE

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PRINCIPAL DATA SCIENCE

7/28/26

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

At TE, we believe Artificial Intelligence and Data Science are strategic drivers of innovation and business transformation. The AI Center of Excellence (AI CoE), part of the TE Information Solutions (TEIS) organization, builds enterprise AI capabilities that accelerate engineering, manufacturing, supply chain, commercial, and enterprise operations. The Principal Data Scientist is a senior technical leader responsible for shaping TE's AI strategy and driving the adoption of advanced AI technologies across the enterprise. This role combines deep expertise in Artificial Intelligence and Machine Learning with a passion for exploring emerging AI paradigms, mentoring technical teams, and translating innovation into measurable business outcomes. Responsibilities:

AI Strategy & Technical Leadership

Define technical direction, architecture, and best practices for enterprise AI initiatives. Partner with business and engineering leaders to identify high-impact AI opportunities. Influence AI strategy, technology roadmap, and enterprise AI adoption.

AI Innovation

Continuously explore, prototype, evaluate, and recommend emerging AI technologies. Provide technical guidance on approaches such as Agentic AI, Causal AI, Neuro-symbolic AI, World Models, Foundation Models, and other evolving AI paradigms. Distinguish meaningful innovation from hype and translate research into practical enterprise solutions.

AI Solution Development

Design, develop, and deploy scalable AI, Machine Learning, Generative AI, and intelligent automation solutions. Lead development of production AI systems including predictive models, NLP, Computer Vision, RAG, AI Agents, optimization, and enterprise AI platforms. Establish best practices for model development, deployment, evaluation, governance, and Responsible AI.

Technical Leadership

Mentor Data Scientists and AI Engineers while fostering a culture of innovation and technical excellence. Lead architecture reviews, technical design, and AI engineering standards. Stay at the forefront of AI advancements and help grow TE's AI capabilities. Candidate Desired Profile:

BE, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field. 12+ years of experience in AI, Machine Learning, or Data Science with demonstrated technical leadership. Proven track