About this role
Your Work Shapes the World at Caterpillar Inc. Cat Digital is the digital and technology arm of Caterpillar, leveraging data, advanced analytics, telematics, and AI capabilities to help customers build a better world. Join as a Data Scientist to perform analytical tasks on huge amounts of data supporting data-driven business decisions.
Cultivate a data-driven product development culture, utilizing insights to optimize digital investments. Drive expansion of revenue and customer base by enhancing dealer business operations and elevating product utilization through customer engagements. Work directly with Slovakia-based engineering leadership and Cat Digital IT in the US.
Establish and grow our presence, organization, and culture driving digital product development efforts. Collaborate with top professionals on high-impact and visibility products using cutting-edge technologies. This role offers involvement in a newly forming team supporting digital innovation for a global leader in heavy machinery.
Build your career on a global scale with a Fortune 100 leader. Take advantage of development opportunities with emerging technologies. We've created an inclusive environment to explore passions, make an impact, and do work that matters.
Requirements
- Solid knowledge in applying Python (NumPy, SciPy, Pandas, etc.) programming to solve business challenges
- Working knowledge and experience in practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks
- Experience with AWS services, Cloud ELT/ETL, Snowflake, SQL
- Strong knowledge of end-to-end data lifecycle across traditional data warehouses, relational databases, operational data stores, business intelligence reporting, as well as data fabrics, data mesh, and data lake house
- Strong understanding of data governance, metadata management, data quality, data modeling
Responsibilities
- Direct data gathering, mining, and processing in large volumes; create appropriate data models
- Explore, promote, and implement semantic data capabilities through Natural Language Processing, text analysis, and machine learning techniques
- Define requirements and scope of data analyses; present and report business insights to management using data visualization technologies
- Evaluate and conduct research on data model optimization and algorithms to improve effectiveness and accuracy of data analyses
- Cultivate a data-driven product development culture utilizing insights to optimize digital investments
- Drive expansion of revenue and customer base by enhancing dealer business operations
- Elevate product utilization through enhanced customer engagements
Benefits
- Work with cutting-edge technologies and collaborate with top professionals on high-impact products
- Build career on a global scale with a Fortune 100 leader
- Development opportunities with emerging technologies
- Inclusive environment to explore passions and make an impact
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