Associate Data Scientist

Career Area: Technology, Digital and Data Job 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. Our common values and focus on inclusion and respect drive the decisions made by our company, teams, and people. This is why we are committed to hiring and building diverse teams representative of the customers we serve globally. When you join our team, you can apply your unique life and job experiences and work in an environment where your ideas are heard, your contributions are celebrated, and your whole-self matters. 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 amounts of data to support data-driven business decisions 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: Basic Understanding 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. Exposure to Cloud Learning Deployment in Machine Learning and Generative AI Models: The ideal candidate should have some hands-on experience or coursework related to deploying machine learning and generative AI models on cloud platforms such as AWS, Snowflake, or Azure. They should be familiar with the basic process of model development, including data preprocessing and model training. Interest in Machine Learning and AI: The candidate should show a keen interest in machine learning and AI, with a willingness to learn and grow in this field. They should be open to mentoring from more experienced engineers, analysts, and data scientists, and eager to participate in collaborative learning environments. Nice-to-Have Skills: Basic Understanding of Model Creation: Experience or coursework in creating and fine-tuning simple machine learning models is a plus. The candidate should have a basic understanding of selecting appropriate algorithms and performing basic model evaluation techniques. Familiarity with Alteryx and DataIKU or Similar Tools: Familiarity with data preparation and processing tools such as Alteryx and DataIKU is desirable. The candidate should have some experience using these tools to perform basic data transformations and prepare datasets for analysis. This position is currently a hybrid in-office work model, requiring 3-day weekly office presence onsite at our Nashville Main office and remote work for the remaining days. However, work arrangements may be adjusted at any time based on business needs. 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. Summary Pay Range: $72,672.00 - $135,444.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits: Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. Medical, dental, and vision benefits* Paid time off plan (Vacation, Holidays, Volunteer, etc.)* 401(k) savings plans* Health Savings Account (HSA)* Flexible Spending Accounts (FSAs)* Health Lifestyle Programs* Employee Assistance Program* Voluntary Benefits and Employee Discounts* Career Development* Incentive bonus* Disability benefits Life Insurance Parental leave Adoption benefits Tuition Reimbursement * These benefits also apply to part-time employees 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 Posting Dates: April 1, 2025 - April 8, 2025 Any 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. Not ready to apply? Join our Talent Community . #J-18808-Ljbffr Caterpillar Financial Services Corporation