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 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).

• Minimum of 3 years of professional industry experience required. This role is not open to recent graduates.


• 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.

• 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!

Location:

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

Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters. 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 - starts with us.

IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric - apply today!

€36 billion global revenue
+13% organic growth
150 000+ employees in 100+ countries
#1 on the Global 100 World's most sustainable corporations

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

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and 'inclusion' is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. This extends to our Candidates and is embedded in our Hiring Practices.

You can find out more about our commitment to Diversity, Equity and Inclusion here and our DEI Policy here

At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here

Schneider Electric is an Equal Opportunity Employer. It is our policy 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.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 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).