Senior Data Scientist- AzureML SageMaker

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!

Summary

Job Description

• Data Scientist at Rockwell Automation, youll join an analytics team of engineers, product managers, and partners thats driving the next wave of AI-powered features for our platform.
• Youll partner with process engineers and operations leads to develop predictive-maintenance models, improve throughput and yield, and lead cost savings across manufacturing lines.
• Youll own end-to-end projects—scoping data-collection architectures, prototyping machine-learning solutions for anomaly detection and quality control, deploying models into our IIoT platform, and setting up real-time monitoring dashboards. Youll also mentor junior analysts, collaborate with R&D on pilot projects (e.g. generative-AI for defect inspection), and help define our roadmap for advanced-analytics capabilities.
• If you relish solving complex, client-facing industrial problems, translating varied data sources into clear business recommendations, and progressing as a trusted analytics partner for our clients, Rockwell Automation is where you can accelerate both your career and your clients success.
• You will report to Lead Sr Solution Architect of the function and will work from our Electronics City, Bengaluru Office in Hybrid work model.
  
  

• Lead end-to-end data-science projects: define hypotheses, design experiments, build features, train & validate models, and deploy in production.
• Partner with Engineering to integrate ML services (TensorFlow/PyTorch) into our microservices architecture, and with Marketing to A/B-test data-driven campaigns.
• Build scalable ETL pipelines (Airflow, Spark) and design data schemas (SQL/NoSQL) to support analytics and modeling at scale.
• Develop monitoring dashboards and automated retraining workflows to maintain model accuracy.
  
  

• Experience ranges from 6-10 years in Python (Pandas, scikit-learn, PySpark) and SQL.
• Proven expertise in supervised and unsupervised ML techniques (regression, trees, clustering, neural nets) and advanced stats (hypothesis testing, time-series).
• Hands on experience with computer-vision and generative-AI projects.
• Familiarity with Docker, Kubernetes, and cloud ML platforms (Azure/AWS).
• Hands on experience in communicating updates and resolutions to customers and other partners and ability to translate data insights into business recommendations.
  
  

• Familiarity with BI tools (Tableau, Looker, Power BI) and MLOps frameworks (MLflow, Kubeflow).
• Familiarity with FastAPI for building and deploying model‐serving endpoints.
• Familiarity working with in Linux Environments.
  
  

• Our benefits package includes …
• 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 OnTrack program
• On-demand digital course library for professional development
• At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if youre excited about this role but your experience doesnt 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.