Caterpillar Inc. is looking to leverage data to support data-driven business decisions and development through analytical tasks and initiatives on large amounts of data.
Requirements
- Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
- Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
- Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
- Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
- Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
- Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.
- Working Knowledge in Python Coding: The candidate should have a foundational understanding of Python programming, including familiarity with its libraries and frameworks. They should have experience in writing simple, maintainable code and demonstrate an aptitude for basic data manipulation and analysis using Python.
Responsibilities
- 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.
Other
- This position requires the successful candidate to work full time, 5 days per week in the Nashville main office.
- This position requires working onsite five days a week.
- Visa Sponsorship is not available for this position.
- The candidate should show a keen interest in machine learning and AI, with a willingness to learn and grow in this field.
- Qualified applicants of any age are encouraged to apply.
