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Caterpillar Inc
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Data Scientist

Data Scientist

Caterpillar Inc

4 - 5 years

9 - 13 Lacs

chennai bengaluru

Posted:Just now| Platform:

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Skills Required

computer science automation simulation system integration scheduling manager quality control monitoring analytics python logistics

Work Mode

Work from Office

Job Type

Full Time

Job Description

This platform is not an ERP system. It s a purpose-built digital layer that integrates data, processes, and resources across the entire manufacturing lifecycle from design and engineering to production and distribution.

This initiative is powered by NVIDIA technologies, including the Omniverse platform and AI computing capabilities, enabling immersive digital twins, accelerated simulation, and intelligent automation. 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:

Collect, preprocess and analyze multi-modal manufacturing datasets: sensor logs, event streams, image/video from virtual and real factory environments.

Build and tune supervised/unsupervised models for predictive yield analytics, process bottleneck detection, and machine/production asset health forecasting.

Design, generate, and validate synthetic data flows via OpenUSD-based digital twins for enhanced model robustness and continuous learning.

Optimize model features through data augmentation, outlier filtering, and dimensionality reduction (PCA, t-SNE etc.).

Collaborate with the design of metric dashboards (e.g., FID, Inception Score) for monitoring generative model performance.

Required Skills:

Expert in Python (pandas, NumPy, SciPy, scikitlearn, PyTorch ecosystem); writes clean, testable code and optimizes when performance matters.

Strong background in machine learning, with hands-on depth in PyTorch plus solid grasp of classical methods (tree based models, clustering, timeseries, anomaly detection) to choose the right approach for the problem.

Basic optimization know-how (gradient descent, evolutionary, reinforcement learning for scheduling/planning).

Nice to Have Skills:

Experience with USD asset manipulation, data ingestion from Omniverse simulations & digital twin development expertise.

Data pipeline development (ETL, Airflow, Kafka).

Cloud tools for scalable ML (AWS/GCP with containerized workloads).

Understanding of domains across plant/line telemetry, quality, maintenance, logistics, or scheduling can translate noisy signals into predictive and prescriptive use cases

Educational Background: Typically requires a Bachelor s degree, preferably in computer science, Artificial Intelligence, Data Science, mathematics, or a similar field with quantitative coursework, and 4-5 years of professional experience in associated field is required, a Master s degree and 2-3 years of experience, or a PhD in one of the associated fields.

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Caterpillar Inc

Heavy Equipment, Manufacturing

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Data Scientist