Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.

We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us!

Job Description

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.

We welcome all makers, forward thinkers, who are looking for a place to do their best work. And if that's you, we would love to have you join us!

Rockwell Automation has a position available for a data scientist to support supply chain programs, and systems to consolidate and analyze unstructured, diverse "big data" sources to create applicable insights. You will talk with all supply chain and data teams to identify questions and issues for data analysis and experiments. You will support the development and coding of software programs and algorithms. You will identify findings from AI/ML to partners.

You will report to senior manager based in United States of America.

Responsibilities:

• Support development of AI/ML solutions.
• Collaborate with the supply chain subject matter experts to understand requirements and translate them into AI/ML solutions.
• Stay up to date with the latest advancements in AI and machine learning, to evaluate their potential applications.
• Develop testing and validation strategies to ensure the reliability, accuracy, and safety of AI/ML models.
• Conduct proof-of-concept studies and pilot projects to assess the viability of AI/ML approaches
• Hybrid Position (Office location three days a week)

Qualifications: Essential:

• Bachelor's Degree in a relevant field.
• Legal authorization to work in the U.S.
• Ability to travel 10% of the time.
• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Applied Mathematics, or related fields.
• Minimum 5 years of relevant experience.
• Previous experience in an ERP system such as SAP in a manufacturing operational setting.
• Knowledge of data mining techniques and ability to integrate multiple, large datasets in a complex analysis with clear outcomes.
• You have programming skills, in Python, and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
• Experience with Generative AI concepts and techniques.
• Attention to detail and problem-solving skills.

Note: You will not have managerial responsibilities.

What We Offer:

• Health Insurance including comprehensive In-patient coverage along with Top-up plans for voluntary coverage upgrade.
• Out-Patient benefits including clinical consultation, prescribed medication, telemedicine, health screening, dental & vision.
• Life and Accident Protection – covering death and disability due to natural cause, illness, and accident.
• Hybrid & flexible work options.
• At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just you or other roles.
• #LI-Hybrid #LI-NC1

Rockwell Automation’s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.