remote
Senior Data Scientist - Schneider Electric
Data Scientist
Lead the design and deployment of AI/ML solutions for industrial automation, leveraging generative models, computer vision, and edge computing to enhance smart manufacturing and operational efficiency.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models for real‑time industrial applications, ensuring robustness and scalability across edge and cloud platforms.
- Apply statistical analysis, experimental design, and model diagnostics to evaluate performance and drive continuous improvement.
- Integrate generative AI and large language models to create intelligent decision‑support tools and automated content generation for manufacturing workflows.
- Collaborate with cross‑functional teams to translate business requirements into data‑driven solutions, presenting insights to stakeholders.
- Implement edge AI strategies, optimizing models for low‑latency inference on embedded devices.
Requirements
- Advanced degree (MS/PhD) in Computer Science, Data Science, or related field with 5+ years of industry experience.
- Proficiency in Python, TensorFlow/PyTorch, and experience with computer vision and generative modeling.
- Strong background in deploying ML models to edge devices and cloud services (AWS, Azure, or GCP).
- Excellent problem‑solving skills and ability to communicate complex technical concepts to non‑technical audiences.
- Experience with LLMs, agentic AI frameworks, and real‑time data pipelines is highly desirable.
Skills
generative aicomputer vision