Data Scientist

Career Area:
Business Technologies, 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.
Your Work Shapes the World at Caterpillar Inc.
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.
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 large datasets to support data-driven business decisions, with focus on modeling of credit risk for loan origination and credit allowance.
Responsibilities
• Support the team's development, implementation and management of scoring, probability of default and loss given default data, models and methodologies utilized for the Allowance Process, as well as for Auto Decisioning processes globally.
• Collect and curate data from various systems for use in model development, validation, and inference.
• Use various data visualization technologies to produce reports and dashboards for management.
• Conduct literature research on models and methodologies, capturing industry best practices and market and regulatory trends
• Provide analytics expertise and promote innovation and process automation.
D e g r e e Requirement
A 4-year college or university degree in a business or quantitative discipline, preferably in Data Science, Statistics or Computer Science. A minimum of 3 years of relevant experience and an advanced degree in a quantitative discipline are strongly preferred
S k il l Descriptors
B us i n e s s 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.
• Understands basic statistical concepts such as sample size, various statistical distributions, joint and conditional probabilities, hypothesis testing, and goodness of fit tests.
• Works with various statistical software tools.
• Explains reasons for common statistical errors, misinterpretations, and misrepresentations.
A cc u racy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
• Evaluates and makes contributions to best practices.
• Processes large quantities of detailed information with high levels of accuracy.
• Productively balances speed and accuracy.
• Implements a variety of cross-checking approaches and mechanisms.
• Demonstrates expertise in quality assurance tools, techniques, and standards.
A n a l y t i c a l 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.
• Approaches a situation or problem by defining the problem or issue and determining its significance.
• Makes a systematic comparison of two or more alternative solutions.
• Uses logic and intuition to make inferences about the meaning of the data and arrive at conclusions.
M a c h i n e Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
• Completed specific tasks and initiates utilizing machine learning technologies.
• Utilizes specific tools and techniques to process descriptive and inferential statistics.
• Applies specific computing languages and tools in machine learning, such as R and Python.
• Explores to use machine learning to make business improvements.
• Conducts data mining and cleaning initiatives.
P rogramming Languages: Knowledge of concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
• Works with low-code/no-code tools, e.g. Alteryx, PowerApps, etc.
• Participates in the implementation and support of specialized programming languages.
• Conducts basic reviews on writing a specific programming language within a specific platform.
• Follows an organization's standards, policies and guidelines for structured programming specifications.
• Diagnoses and reports minor or routine programming language problems.
Q u e ry 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.
• Defines, creates and tests queries by using associated command language in a specific environment.
• Applies appropriate query tools used to connect to the data warehouse.
• Obtains and analyzes query results.
• Employs tested query statements to retrieve, insert, update and delete information.
• Works with advanced features and functions.
#LI-Hybrid
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:
October 15, 2024 - October 22, 2024
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 .