onsite
Lead Data Scientist - TE Connectivity
Data Scientist
Lead Data Scientist who designs, builds, and deploys autonomous AI agents and orchestrated workflows to drive business automation, operational excellence, and strategic growth using Python, machine learning, and cloud platforms.
About the role
Key Responsibilities
- Architect and implement intelligent agent systems that automate complex business processes across multiple business units.
- Design, develop, and productionize machine‑learning models and AI workflows using Python and modern ML frameworks.
- Collaborate with cross‑functional teams to translate strategic objectives into scalable data‑driven solutions.
- Lead the integration of AI solutions with cloud infrastructure (e.g., AWS, Azure) to ensure reliability, security, and performance.
- Mentor junior data scientists and engineers, fostering best practices in model development, versioning, and monitoring.
Requirements
- 5+ years of hands‑on experience in data science, machine learning, and AI system development.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or scikit‑learn.
- Strong background in cloud platforms (AWS, Azure, or GCP) and containerization/orchestration tools.
- Demonstrated ability to design end‑to‑end data pipelines and deploy models at scale.
- Excellent problem‑solving skills and experience leading technical teams in a fast‑paced environment.
Skills
pythonmachine learning