Schneider Electric - Louisville, KY
posted 20 days ago
Full-time - Mid Level
Louisville, KY
10,001+ employees
Electrical Equipment, Appliance, and Component Manufacturing
About the position
Schneider Electric is seeking a Senior Data Scientist to join their Sustainability Business team in Louisville, Kentucky. This role focuses on developing machine learning tools to enhance energy and sustainability management services. The ideal candidate will work with large datasets, design experiments, and optimize various aspects of business operations, contributing to the company's mission of sustainability and innovation.
Responsibilities
- Design and develop optimization techniques and tools to identify trends in complex, large, structured, and unstructured data sets.
- Design and develop simulation tools for training and testing ML, deep learning, and AI models.
- Collaborate with other business team resources to identify, develop, test, and create new solutions/products.
- Apply knowledge of technology with knowledge of contemporary business models to synthesize potential opportunities.
- Work with cutting-edge technologies in ML subfields such as Natural Language Processing (NLP) and Reinforcement Learning (RL).
Requirements
- Minimum of 3 years of professional industry experience required.
- Degree in computer science, mathematics, physics, engineering, ML/AI, or equivalent.
- A strong understanding of AI and ML development, experience with MLOps.
- Programming expertise in languages such as Python, SQL, R, etc.
- Experience with Natural Language Processing, Deep Learning, Transfer Learning, etc.
- Analytical self-starter with strong attention to detail and desire to learn new things.
- Strong organizational and problem-solving skills with the ability to work on multiple complex projects.
Nice-to-haves
- Experience with optimization, time-series forecasting, and reinforcement learning are all a plus!
- Recent experience with Large Language Models (LLMs) or other Generative AI is a plus!
Benefits
- Equitable opportunities for all employees
- Commitment to diversity and inclusion
- Support for professional development and learning
