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:

We are looking for a Data Science Analyst with experience in Advanced Process Control (APC) and expertise in Exploratory Data Analysis (EDA). This role is important to delivering the latest analytics and model predictive control solutions for a wide spectrum of manufacturing industries. You will bridge the gap between technical insights and relevant business strategies, ensuring that complex analytics translate into measurable operational improvements.

Keywords: Model Predictive Control, Advance Process Control, Exploratory data analysis, Analytics, Data Science, Predictive Maintenance

Your Responsibilities:

• You will contribute with the design, and deployment of advanced analytics and model predictive control applications for manufacturing processes.
• Conduct comprehensive exploratory data analysis to uncover process inefficiencies and improvement opportunities.
• Translate complex technical findings into clear, applicable business recommendations for clients and partners.
• Support system integration activities and collaborate with cross-functional teams to align technical solutions with operational goals.
• Deliver client presentations, technical documentation, and training sessions to facilitate understanding and adoption of APC solutions.

The Essentials

You Will Have:

• Bachelor's degree in Computer Science, Process Engineering, Industrial Engineering, or a related technical field.
• 5 years' hands-on experience in process manufacturing environments, with experience in APC, advance analytics, data science, predictive maintenance and process optimization projects.
• Expertise in exploratory data analysis, statistical modeling, and advanced analytics tools (e.g., Python, R, and MATLAB).
• Knowledge of model predictive control algorithms, control system architectures, and manufacturing best practices.
• Experience leading diverse technical teams and managing complex project deliverables.

The Preferred

You Might Also Have:

• Experience presenting technical findings to stakeholders with varying levels of technical background.
• Demonstrated leadership and project management capabilities.
• Experience applying structured problem‑solving approaches in dynamic or high‑variability operational environments.
• Engagement in ongoing learning of analytics, control systems, or related technologies.
• Client-centric mindset with a focus on delivering measurable business value.
• Ability to adjust workload or priorities based on changing operational or project requirements.
• Interest in learning new software tools or systems independently to support project needs.

What We Offer:

• Comprehensive mindfulness programs with a premium membership to Calm
• Volunteer Paid Time off available after 6 months of employment for eligible employees.
• Company volunteer and donation matching program – Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation.
• Employee Assistance Program
• Personalized wellbeing programs through our On Track program
• On-demand digital course library for professional development... and other local benefits!

Modality: Hybrid

You will report to: TEAM LEAD, MANAGER - DIGITAL

We believe that employee diversity is a key element of our common future. We provide opportunities for talent development and growth with the entire organization. We support equality by celebrating the individuality of every person, regardless of their origin and identity. We appreciate the unique cultural pattern and variety of experiences in each of us. We invite all who want to join and change the world of our organization.

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.