Data Scientist

Schneider Electric USA

Louisville, KY

Full Time

Entry Level

15 days ago

Job Description

About the Role

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.

Key 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).

Requirements

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

Nice to Have

Experience with optimization, time-series forecasting, and reinforcement learning.

Qualifications

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

Working at Schneider Electric USA

At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - start with us. We celebrate IMPACT Makers and believe everyone has the potential to be one. We aspire to be the most inclusive and caring company in the world, providing equitable opportunities to everyone, everywhere, and ensuring all employees feel valued and safe to contribute their best. We uphold the highest standards of ethics and compliance, with our Trust Charter emphasizing ethics, safety, sustainability, quality, and cybersecurity. We are committed to diversity and inclusion, reflecting the communities we serve.

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