Schneider Electric is looking for a passionate, talented, and inventive Data Scientist / Senior Data Scientist with a passion for learning and discovery. This person will help build industry-leading machine learning tools in the energy and sustainability management industry. As a member of the Sustainability Business team, you will collaborate with internal technology and business teams to build tools to support new services, expand and improve existing services and enable our teams to be more productive. You will be working both structured and unstructured data to solve real-world problems. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

　　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).

　　Qualifications:

　　Degree in computer science, mathematics, physics, engineering, ML/AI, or equivalent.

　　A strong understanding of AI and ML development, experience with MLOps.

　　A " can-do " attitude and the ability to work both independently and within a small group.

　　Experience with cloud computing (Azure is a plus!) in the context of ML and AI.

　　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 in diverse areas, versatile and capable within multiple disciplines.

　　Understanding of microservices and orchestration-based software, i.e. Docker and Kubernetes.

　　Bonus Skills:

　　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!

　　Familiarity with model inference, fine-tuning and retrieval augmented generation (RAG) is desired.

　　Location:

　　We prefer this role to be based in Louisville KY but will consider the right candidate in other US-based locations in the Eastern time zone.

　　Why us?

　　Schneider Electric is leading the digital transformation of energy management and automation. Our technologies enable the world to use energy in a safe, efficient and sustainable manner. We strive to promote a global economy that is both ecologically viable and highly productive.

　　25.7bn global revenue

　　137 000 employees in 100 countries

　　45% of revenue from IoT

　　5% of revenue devoted for R&D

　　You must submit an online application to be considered for any position with us. This position will be posted until filled

　　It is the policy of Schneider Electric to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct. Concerning agencies: Schneider Electric does not accept unsolicited resumes and will not be responsible for fees related to such.Schneider Electric is looking for a passionate, talented, and inventive Data Scientist / Senior Data Scientist with a passion for learning and discovery. This person will help build industry-leading machine learning tools in the energy and sustainability management industry. As a member of the Sustainability Business team, you will collaborate with internal technology and business teams to build tools to support new services, expand and improve existing services and enable our teams to be more productive. You will be working both structured and unstructured data to solve real-world problems. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

　　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).

　　Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity