Lead Data Scientist

Caterpillar — Bangalore, Karnataka

Provides technical leadership in applying Data Science, AI, and Machine Learning to transform large-scale data into actionable insights, intelligent automation, and business value across Packaging and related enterprise functions. What You Will Do • Lead the design, development, deployment, and optimization of AI/ML, Deep Learning, Computer Vision, and Generative AI solutions to address complex Packaging, Supply Chain, Logistics, and Engineering challenges. • Direct large-scale data gathering, data mining, feature engineering, and data processing activities; create scalable data models and data pipelines. • Explore, promote, and implement AI-driven capabilities using LLMs, Agentic AI Frameworks, NLP, semantic search, and advanced analytics techniques. • Drive development and deployment of predictive, optimization, quality, sustainability, and automation solutions using machine learning and data science methodologies. • Lead definition of business requirements, analytical scope, and solution architecture; translate business needs into scalable technical solutions. • Collaborate with stakeholders, conduct workshops, and communicate actionable insights through dashboards, visualizations, and executive presentations. • Establish MLOps, model governance, monitoring, retraining, and continuous improvement processes to ensure reliable production deployment of AI solutions. • Conduct research and evaluation of emerging AI technologies, algorithms, and frameworks to improve solution effectiveness and business impact. What You Have Business Partnership & Requirements Analysis Knowledge of business analysis techniques and stakeholder engagement practices; ability to translate business needs into scalable data science and AI solutions. Level: Extensive Experience • Engages with business leaders, clients, and stakeholders to understand strategic priorities. • Leads workshops, requirement-gathering sessions, and solution discovery activities. • Defines analytical scope, success c

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