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Caterpillar Inc. is looking to hire a Data Scientist to provide valuable data analytics to the Maintenance Components & Hydraulics team within RISM, enabling them to develop and execute category strategies and deliver significant cost savings.

Requirements

• Uses R and Python for statistical modeling and data processing
• Conducts data mining and cleaning for business insights
• Explores ML applications to improve business outcomes
• Supports implementation of specialized programming languages
• Assists in design and development within structured environments
• Builds and tests queries using command languages
• Connects to data warehouses with appropriate tools

Responsibilities

• Develop and maintain scorecard and reports by consolidating data from multiple sources.
• Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models.
• Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.
• Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.
• Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.
• Develop cost reporting framework to review monthly results
• Consolidate all cost savings activities to provide director and strategy manager with visibility and actions to accelerate

Other

• A degree in Engineering, Business, or Finance
• Prior experience in Procurement
• Familiarity with monthly reporting processes, including ABP (Annual Business Plan) and RBM (Rolling Business Management)
• Demonstrated expertise in cost savings initiatives
• On-site, 5 days per week