Caterpillar Inc. is seeking a Data Scientist to drive data-driven decision-making, unlock new business opportunities, and deliver measurable value by leveraging advanced analytics, machine learning, AI, and Gen AI within the BCP (Building Construction Products) division.
Requirements
- Deep expertise in statistical modeling, hypothesis testing, decision tree, Clustering Techniques, Supervised Learning – Regression and classification, Tree-based Models for predictive analytics, Natural Language Processing, Recommendation System, Deep Learning Techniques , Time Series Forecasting, and other AI/ML techniques.
- Hands-on experience with tools and frameworks such as Python, R or similar.
- & experience with data visualization tools.
- Strong understanding of data engineering principles including ETL pipelines, data warehousing, and cloud platforms such as AWS, Azure, or Google Cloud.
Responsibilities
- Identify relevant data sources working with data engineering and analytics teams to mine data for business needs, and collect large structured and unstructured datasets and variables
- Lead the design, development, and deployment of machine learning models and AI solutions to solve a diverse set of complex business problems (e.g. customer behavior prediction, defect minimization, pricing optimization, demand forecasting, and supply chain network optimization
- Develop and implement scalable data science frameworks, tools, and methodologies to deliver predictive and prescriptive insights.
- Ensure compliance with data privacy, security, and ethical standards when designing and deploying machine learning models.
- Identify and mitigate risks associated with data science projects and the use of AI technologies.
Other
- Foster strong relationships with business leaders to ensure alignment between data science initiatives and organizational objectives.
- Excellent communication and storytelling skills, with the ability to convey technical concepts to non-technical stakeholders and influence decision-making at all levels of the organization.
- Demonstrated ability to manage competing priorities, navigate ambiguity, and deliver results in a fast-paced environment.
- An advanced degree in Mathematics, Data Science, Computer Science or other numerate discipline
- Prior roles held in data science discipline
