Senior Data Scientist

Caterpillar Inc

7 - 10 years

10 - 15 Lacs

chennai bengaluru

Posted:-1 days ago| Platform:

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Skills Required

automation simulation manufacturing process analytical process control system integration scheduling manager quality control monitoring python

Work Mode

Work from Office

Job Type

Full Time

Job Description

You ll be part of a team that s not just building software but shaping the future of how manufacturing works through AI-driven, collaborative, and scalable digital solutions.

As part of this initiative, you ll contribute to:

System Integration: Seamlessly connecting diverse manufacturing and supply systems, data sources, and workflows into a unified digital ecosystem.
Data-Driven Decision Making: Harnessing real-time data collection, analysis, and visualization to deliver actionable insights and operational intelligence.
Automation & Optimization: Driving efficiency through intelligent scheduling, predictive maintenance, and quality control without replacing core transactional systems.
Enhanced Collaboration: Enabling transparent communication and coordination across teams, functions, and geographies.

If youre passionate about digital platforms, industrial innovation, and working with cutting-edge technologies this is your opportunity to make a meaningful impact.

Key Responsibilities:

Architect end-to-end ML and synthetic data pipelines to drive continuous improvement in virtual manufacturing, using OpenUSD/Omniverse simulations.
Develop advanced generative and optimization models for scheduling, material flow, quality prediction, and process control; deploy on digital twins for closed-loop optimization.
Evaluate and implement modern optimization algorithms: stochastic search, evolutionary/genetic, reinforcement, and multi-objective optimization.
Lead model validation using industrial analytics metrics (yield improvement, downtime reductions, forecast accuracy).
Establish standards for data/model lifecycle management, production monitoring, and feedback from physical operations.

Required Skills:

Deep expertise in machine learning and deep learning techniques designs composable model services (ensembles, retrieval augmented generation, multimodal orchestration), establishes rigorous evaluation methods.
Demonstrated experience in leveraging classical optimization (branch & bound, heuristics, integer programming) techniques.
Advanced Python knowledge to handle high-performance analytical workloads, simulation and deployment.
Deep knowledge of manufacturing process analytics: multivariate analysis, defect analytics.

Nice to Have Skills:

Team/project leadership with publications or patents in industrial ML or optimization.
Hands-on with cloud-native deployments, industrial IoT/edge analytics, and data pipeline automation.
Understanding of domains across plant/line telemetry, quality, maintenance, logistics, or scheduling can translate noisy signals into predictive and prescriptive use cases
Experience in building analytics on top of OpenUSD-powered asset graphs, integrating real/virtual process data for digital twins.

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