Lead design and build of scalable ETL pipelines and data models for Workday Prism. Ensure security and operational management of data while supporting HR and Finance stakeholders.
About the role
- Lead Data Scientist developing digital twins and generative AI predictions for Caterpillar's digital applications. Collaborating across teams to create strong, automated diagnostic workflows and real-time monitoring solutions.
Responsibilities
- Algorithm Development & Modeling
- Anomaly Detection: Design and implement GPU-accelerated machine learning models (e.g., XGBoost, autoencoders, and GANs) to identify irregular patterns in high-frequency sensor data.
- Digital Twin Engineering: Partner with engineering teams to develop onboard digital twins using NVIDIA architecture to simulate, predict, and optimize the performance of heavy machinery
- Optimization: Profile and tune deep learning algorithms for maximum efficiency on NVIDIA GPU architectures, ensuring high throughput and low latency for real-time monitoring.
- Testing onboard Architecture & Integration
- Edge Deployment: Adapt and test algorithms for onboard architecture, leveraging tools like NVIDIA Jetson and real-time edge processing on Cat equipment.
- Hardware-Software Co-Design: Collaborate with hardware / simulation engineers to ensure algorithm compatibility with next-generation processors and specialized onboard compute modules.
- Simulation-Based Training: Use high-fidelity digital twins to simulate rare failure scenarios, ensuring the GenAI assistant provides accurate troubleshooting steps for edge-case mechanical issues.
- GenAI Algorithm Automated Diagnostic Workflows: Develop Generative AI agents that synthesize telematics data to generate prioritized repairs for identified machine faults.
- Unified Data Orchestration: Integrate multi-modal outputs from condition monitoring analytics & asset life history to create a machine-specific context for AI assistant.
Requirements
- Typically, a Bachelors, Masters, or PhD degree in Applied Statistics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree
- Extensive experience applying Python (NumPy, SciPy, pandas, etc.) programming to solve business challenges.
- Extensive experience with advanced data analysis, machine learning such as clustering, Log regressions, neural nets, and statistical methods such as statistical process control, etc. (typically 8+ years)
- Experience in practical applications of onboard architecture / software (e.g. mini projects using Raspberry Pi or any other architecture is a bonus)
- Working experience with heavy equipment engineering or data analysis.
- Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc.)
- Advanced experience with version control / repositories such as GitHub
- Experience operating in an Agile environment
- Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.
Benefits
- Medical, dental, and vision benefits*
- Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
- 401(k) savings plans*
- Health Savings Account (HSA)*
- Flexible Spending Accounts (FSAs)*
- Health Lifestyle Programs*
- Employee Assistance Program*
- Voluntary Benefits and Employee Discounts*
- Career Development*
- Incentive bonus*
- Disability benefits
- Life Insurance
- Parental leave
- Adoption benefits
- Tuition Reimbursement
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