Data Scientist

Schneider Electric is looking for a passionate, talented, and inventive 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 with terabytes of 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 products which utilize Large Language Models (LLMs) or other Generative AI.


* Design and develop simulation tools for training and testing ML and deep learning 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:


* Minimum of 1-2 years of professional industry experience required.


* Recent experience with Large Language Models (LLMs) or other Generative AI.


* 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 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.

Preferred Skills:


* Experience with optimization, time-series forecasting, and reinforcement learning are all a plus!

Position Criteria:


* Unfortunately, we are unable to entertain remote candidates at this time.

Location requirement is Louisville, KY.


* No relocation available.


* Hybrid onsite work model (2-3 days per week).


* Applicants must be authorized to work in the U.S.

We are unable to sponsor or take over sponsorship of an employment visa now or in the f...