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Data Scientist - Supply Chain

Rockwell Automation
paid time off, 401(k)
United States, Wisconsin, Milwaukee
May 12, 2025
Milwaukee, Wisconsin, United States

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 thework 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

We are looking for a data scientist to support supply chain programs, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights. You will interact 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, interpret, and communicate insights and findings from AI/ML to key stakeholders. You will work hybrid from Milwaukee, WI. You will report to the Sr. Manager of Data Analytics.

Your Responsibilities:
  • Support development, implementation, and execution 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
The Essentials - You Will Have:
  • Bachelor's Degree
  • Legal authorization to work in the U.S. We will not sponsor individuals for employment visas, now or in the future, for this job opening.
  • The ability to travel 10% of the time.
The Preferred - You Might Also Have:
  • Bachelor's or Master's in Computer Science, Engineering, Applied Mathematics, or related fields
  • 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 business outcomes
  • Strong programming skills, particularly in Python, and familiarity with machine learning frameworks such as TensorFlow or PyTorch
  • Solid understanding of Generative AI concepts and techniques

#LI-AA1

#LI-hybrid

What We Offer:
  • Health Insurance including Medical, Dental and Vision
  • 401k
  • Paid Time off
  • Parental and Caregiver Leave
  • Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life.
  • To learn more about our benefits package, please visit at www.raquickfind.com.

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 the right person for this or other roles.

This position is part of a job family. Experience will be the determining factor for position level and compensation.

We are an Equal Opportunity Employer including disability and veterans.

If you are an individual with a disability and you need assistance or a reasonable accommodation during the application process, please contact our services team at +1 (844) 404-7247.

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.

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