Career Area:Technology, Digital and Data
Job Description:Role DefinitionWe are seeking a
Data Scientist to partner closely with the Power and Energy Drivetrain team. In this role, you will analyze large volumes of data to support data-driven business decisions, identify insights, and contribute to solution development.
What You Will Do:
- Directing 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.
- Designs and develops solutions, collaborates with senior stakeholders and business users to collect VOB/VOC, business requirements, and prepares implementation plans for successful deployment.
- Contributes to strategic initiatives such as the development of standardized best practices, offerings, services and development of associated tools & training.
What You Will Have: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.
Level Working Knowledge:
- Explains the basic decision process associated with specific statistics.
- Works with basic statistical functions on a spreadsheet or a calculator.
- Explains reasons for common statistical errors, misinterpretations, and misrepresentations.
- Describes characteristics of sample size, normal distributions, and standard deviation.
- Generates and interprets basic statistical data.
Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
Level Extensive Experience:
- Evaluates and makes contributions to best practices.
- Processes large quantities of detailed information with high levels of accuracy.
- Productively balances speed and accuracy.
- Employs techniques for motivating personnel to meet or exceed accuracy goals.
- Implements a variety of cross-checking approaches and mechanisms.
- Demonstrates expertise in quality assurance tools, techniques, and standards.
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.
Level Working Knowledge:
- 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 flow charts, Pareto charts, fish diagrams, etc. to disclose meaningful data patterns.
- Identifies the major forces, events and people impacting and impacted by the situation at hand.
- Uses logic and intuition to make inferences about the meaning of the data and arrive at conclusions.
Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
Level Working Knowledge:
- Completes specific tasks and initiatives utilizing machine learning technologies, such as search engine optimization.
- 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 in one own areas to make business improvements.
- Conducts data mining and cleaning initiatives.
- Diagnoses and reports minor or routine programming language problems.
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.
Level Working Knowledge:
- Defines, creates and tests simple 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 access path information and query results.
- Employs tested query statements to retrieve, insert, update and delete information.
- Works with advanced features and functions including sorting, filtering and making simple calculations.
What Sets You Apart:- Knowledge of business process improvement best practices and ability to use methods for identifying, evaluating, introducing and implementing more efficient approaches to performing business related activities.
- Ability to move beyond data collection and reporting by translating data into recommendations that drive business decisions and process improvements.
- Experience working with enterprise data platforms such as Snowflake, including querying, validating, and connecting data sources to reporting and visualization tools.
Additional Information:- Relocation is not available for this position.
- Sponsorship is not offered for this position.
Summary Pay Range:$97,530.00 - $158,480.00
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
This position requires working onsite five days a week.
Visa Sponsorship is not available for this position.
Posting Dates:September 17, 2026 - September 24, 2026
Any offer of employment is conditioned upon the successful completion of a drug screen.
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