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Caterpillar

Makes heavy machinery, engines and gas turbines

Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timeKošice, SlovakiaIn-person

About the Job

Requirements

  • Apply Python programming, including NumPy, SciPy, and Pandas, to solve business challenges.
  • Have working knowledge and experience applying machine-learning techniques, including clustering, logistic regression, random forests, support vector machines, and neural networks.
  • Have experience with AWS services, cloud extract, transform, and load (ETL), Snowflake, and SQL.
  • Have strong knowledge of the end-to-end data lifecycle across traditional data warehouses, relational databases, operational data stores, business intelligence reporting, data fabrics, data mesh, and data lakehouses.
  • Have a strong understanding of data governance, metadata management, data quality, data modeling, and data architecture concepts.
  • Have experience utilizing quantitative analysis and data management, including data design, data quality, metadata, and governance.
  • Have knowledge of data technology products and components for big data and cloud, including AWS and data lakes.
  • Be able to clearly communicate complex technical ideas to audiences regardless of their technical capacity.
  • Apply analytical thinking techniques and tools to determine the root causes of organizational problems and develop alternative solutions.
  • Use data management systems and query and database access tools to search, extract, and format data for further use.

Responsibilities

  • Direct data gathering, data mining, and processing of large volumes of data, and create appropriate data models.
  • Explore, promote, and implement semantic data capabilities using natural language processing, text analysis, and machine-learning techniques.
  • Help define data-analysis requirements and scope, and present and report potential business insights to management using data-visualization technologies.
  • Evaluate and research data-model optimization and algorithms to improve the effectiveness and accuracy of data analyses.
  • Use analytical insights to support data-driven business decisions and development, optimize digital investments, expand revenue and customer base, improve dealer business operations, and increase product utilization through enhanced customer engagement.

About the Company

Caterpillar

Makes heavy machinery, engines and gas turbines

Caterpillar makes construction and mining machines, diesel and natural gas engines, industrial gas turbines and locomotives for contractors, mines, energy companies and data center builders. It is the world's largest maker of construction and mining equipment, and its yellow Cat bulldozers and excavators work in nearly every country. Customers buy or rent machines through independent Cat dealers, while its engines and turbines generate electricity and push natural gas through pipelines. Caterpillar earns money from equipment sales and from the parts and repairs that dealers supply over a machine's working life. It was formed in 1925 when California's Holt and Best tractor companies merged, and it is based in Irving, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Irving, TX
Founded
1925

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