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Caterpillar Inc
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Senior Data Scientist

Senior Data Scientist

Caterpillar Inc

7 - 10 years

10 - 15 Lacs

chennai bengaluru

Posted:1 day 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

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 you're passionate about digital platforms, industrial innovation, and working with cutting-edge technologies, this is your opportunity to make a meaningful impact.
This position requires working onsite five days a week.

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 Open USD-powe'red asset graphs, integrating real/virtual process data for digital twins.

Educational Background: Typically requires a bachelors degree, preferably in computer science, Artificial Intelligence, Data Science, mathematics, or a similar field with quantitative coursework, and 7-10 years of professional experience in associated field is required, a masters degree and 4-6 years of experience, or a PhD and 1-3 years of relevant field.

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Caterpillar Inc

Heavy Equipment, Manufacturing

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Senior Data Scientist