Career Area:
Technology, Digital and DataJob Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
About Cat Financial
Cat Financial is a subsidiary of Caterpillar Inc., the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For more than 40 years, Cat Financial has provided a wide range of financing solutions to customers and Cat® dealers for machines, engines, Solar® gas turbines, genuine Cat parts and services. Headquartered in Nashville, Tennessee, Cat Financial serves customers globally with offices and subsidiaries located throughout North and South America, Asia, Australia, Europe and Africa. Visit cat.com to learn more about Cat Financial.
Role Definition:
- Performs analytical tasks and initiatives on huge amount of data to support data-driven business decision and development.
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.
Skill Required:
- Business Statistics: 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.
- Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
- Analytical Thinking: 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.
- Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
- Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
- Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
- Requirements Analysis: 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.
Consideration for Top Candidates:
Must-Have Skills:
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Deep Technical Expertise in Python Coding:
The candidate should possess advanced proficiency in Python programming, with a strong understanding of its libraries and frameworks. They should have experience in writing efficient, scalable, and maintainable code. Additionally, they should demonstrate a solid aptitude for data manipulation and analysis using Python, showcasing their ability to handle complex datasets and perform data-driven tasks.
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Experience in Cloud Learning Deployment in Machine Learning and Generative AI Models: The ideal candidate should have hands-on experience in deploying machine learning and generative AI models on cloud platforms such as AWS, Snowflake, and Azure. They should be familiar with the end-to-end process of model development, from data preprocessing and model training to deployment and monitoring. Their expertise should include optimizing models for performance and scalability in a cloud environment.
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Willingness and Enthusiasm to Champion Machine Learning and AI in Large Corporations: The candidate should demonstrate a strong passion for machine learning and AI, with a focus on educating others about these technologies. They should be committed to mentoring other engineers, analysts, and data scientists, guiding them on how to effectively use machine learning and AI tools, and fostering a collaborative learning environment. Additionally, they should be eager to identify opportunities for AI integration, explain its benefits to various stakeholders, and lead initiatives that help implement AI solutions to improve business processes and outcomes.
Nice-to-Have Skills:
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Model Creation Experience: Experience in creating and fine-tuning machine learning models is a valuable asset. The candidate should be adept at selecting appropriate algorithms, feature engineering, and model evaluation techniques to build robust and accurate models.
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Proficiency in Alteryx and DataIKU or Similar Tools: Familiarity with data preparation, enrichment, and processing tools such as Alteryx and DataIKU is highly desirable. The candidate should be skilled in using these tools to streamline data workflows, perform complex data transformations, and prepare datasets for analysis and modeling.
Additional Information:
- This role is a hybrid position and would require any successful candidate to commit to a 3 day per week in office requirement.
This Job Description is intended as a general guide to the job duties for this position and is intended for the purpose of establishing the specific salary grade. It is not designed to contain or be interpreted as an exhaustive summary of all responsibilities, duties and effort required of employees assigned to this job. At the discretion of management, this description may be changed at any time to address the evolving needs of the organization. It is expressly not intended to be a comprehensive list of “essential job functions” as that term is defined by the Americans with Disabilities Act.
Relocation is available for this position.Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at www.caterpillar.com/careers.Posting Dates:
February 27, 2025 - March 6, 2025Any offer of employment is conditioned upon the successful completion of a drug screen.
EEO/AA Employer. All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.
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