Integrated Supply Chain Data Scientist

Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 25,000 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**: Do you want to make a difference in the world? At Rockwell Automation you can do just that and more. Rockwell is a global leader in industrial automation and digital transformation. We connect the imaginations of people with the potential technology to expand what is humanly possible, making the world more productive and sustainable. Rockwell is recognized as one of the World’s Most Ethical Companies in 2020. We place a high value on integrity which fosters an environment where all employees can and want to do their best work. Integrated Supply Chain Organization Approximately 7000 employees work in Rockwell Automations Integrated Supply Chain (ISC) organization which spans across all aspects of supply chain and is made up of various functional areas for Plan, Source, Make and Deliver. Integrated Supply Chain Business Intelligence Organization Do you want to be part of a fast-growing global organization focused on driving innovation and automation opportunities where your passion for data and solving business problems with data can flourish and where your continued development will be actively encouraged? Do you want to spend your working hours finding new and better ways of doing things through advanced analytics and process automation? We’re looking for bright minds to make that happen — the makers, the forward thinkers, the problem solvers. That’s where you come in. Main Responsibilities: - You will create optimal data architectures through Azure and build large, complex data models. This includes working with business stakeholders to gather requirements and transform those into a technical solution. - You provide thought leadership to architect data structures to provision and enable “Data as a Service” - Writes high-quality code compliant with regulations and provide data specifications to ensure all agreed standards and protocols are followed and data integrity is preserved. - Help others get the most out of data management systems by providing support and advice. - Support and contribute to the documentation of "as is" and "to be" processes and describe the changes required to migrate to the "to be" capability. - Thought leadership in the data design agility required to support future use cases and future points of data consumption. - Create and maintain technical and/or user documentation to a high standard and back up files to ensure instant recovery if problems occur. Basic Requirements: - Bachelor’s degree in Mathematics, Physics, Computer Science, Engineering, Econometrics, Business Analytics, or related field Desired Qualifications: - 5+ Year demonstrated experience with ML Libraries, R, Python, Scala, or related programming languages - 5+ years demonstrated experience with PowerBI, expert knowledge of data verse, dataflows workings is desired - Expert knowledge of PowerApps, Power Automate - Agility to adapt quickly to new technologies and changing business requirements - Solid problem-solving skills, attention to detail, and critical thinking abilities - Ability to influence functional and IT stakeholders independently - Domain expertise / experience supporting multiple of the following functional areas: - Plan - Supply Chain Strategy & Planning, Materials Management - Source - Purchasing / Sourcing / Procurement - Make - Manufacturing - Deliver - Logistics, Distribution & Customer Care - Proven passion for innovation and data analytics is a must. - Minimum of 5 years of experience as a Data Scientist or Software Engineer with a focus on building data pipelines and foundations. - Minimum of 5 years of experience with MS Azure or similar data infrastructure, excellent understanding of SQL and database building and maintenance. - Experience with systems development lifecycle and system/process documentation - SAP Ecosystem Data Structure and Navigation knowledge. - Experience with Databricks. - Master's degree in areas such as Mathematics, Physics, Computer Science, Engineering or Econometrics, Business Analytics is preferred. LI-AB1