Career Area:Technology, Digital and Data
Job Description:Caterpillar's Remanufacturing Division is looking for a Senior Data Scientist. Primary location for this position will be Mossville, IL. Additional locations to be considered: Franklin, IN, Corinth, MS, Fargo, ND, & Irving, TX. Degree Requirement:
- Bachelor's degree in Engineering, Computer Science, or other Technical field; or proven work experience
What You Will Do: - Lead the design, development, and deployment of advanced analytics, machine learning, and AI-enabled solutions that solve complex business problems across the Reman Division.
- Apply statistical modeling, machine learning techniques, optimization methods, forecasting, simulation, and experimentation to identify opportunities, improve decisions, and deliver measurable business value.
- Develop, validate, and operationalize descriptive analytics and predictive models using Python and modern data science practices while ensuring solutions are explainable, maintainable, and aligned to business objectives.
- Build analytics products and decision-support tools that combine machine learning outputs, curated data assets, and intuitive Power BI reporting to improve adoption and business actionability.
- Partner with business stakeholders to frame analytical problems, define success measures, translate business requirements into data science solutions, and communicate insights to technical and non-technical audiences.
- Research, prototype, and implement emerging AI development approaches, including generative AI, intelligent agents, natural language interfaces, and automation opportunities that improve business processes and analytical productivity.
- Use python, Kedro, dbt, Docker, AWS, Snowflake, Azure DevOps, and related tools to create repeatable, governed, and production-ready analytical workflows that support model development, deployment, and monitoring.
- Collaborate with data engineering and platform partners to ensure required data pipelines, semantic models, data quality frameworks, and governed data products are available to support scalable analytical solutions.
- Establish and promote data science best practices including source control, code review, automated testing, experiment tracking, model documentation, reproducible pipelines, and deployment standards.
- Lead Agile planning, analytical design reviews, model review discussions, and project execution efforts while mentoring team members on data science, machine learning, AI development, and analytics engineering practices.
- Champion sustainable analytical product development by reducing technical debt, improving reusability, and promoting standardized approaches across the Reman Analytics organization.
- Define and execute standards for model documentation, metadata management, knowledge sharing, monitoring, and operational supportability to improve long-term maintainability of analytical solutions.
Top Candidates Will Have: - Hands-on experience developing data science and machine learning solutions using Python, including model development, validation, deployment, monitoring, and continuous improvement.
- Strong understanding of supervised and unsupervised learning, forecasting, optimization, statistical analysis, feature engineering, model evaluation, and practical application of ML techniques to business problems.
- Experience building AI-enabled solutions, including generative AI applications, natural language solutions, intelligent agents, or automation tools that improve analytical workflows and business decision-making.
- Practical experience with modern analytics and development tools such as dbt, Kedro, AWS, Docker, Snowflake, Azure DevOps, Git, and Power BI.
- Ability to translate ambiguous business needs into structured analytical approaches, communicate insights clearly, and deliver solutions that are adopted and sustained by the business.
- Working knowledge of data engineering concepts, ELT/ETL patterns, data modeling, and data quality practices needed to support reliable analytical and machine learning solutions.
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.
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. Level Working Knowledge:
- Participates in the implementation and support of specialized programming languages.
- Conducts basic reviews on writing a specific programming language within a specific platform.
- Assists with the design and development of specialized programming languages.
- Follows an organization's standards, policies and guidelines for structured programming specifications.
- 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 Extensive Experience:
- Writes, debugs and implements complex queries involving multiple tables or databases.
- Works with aggregate functions, complex joins, groupings, dynamic and embedded SQL's (Structured Query Languages).
- Teaches others about query optimization techniques and facilities.
- Consults on query optimization, interactive queries, testing and verification.
- Evaluates all major database access tools and functions for distributed databases.
- Compares and contrasts the benefits and drawbacks of various SQL products.
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. Level Working Knowledge:
- Follows policies, practices and standards for determining functional and informational requirements.
- Confirms deliverables associated with requirements analysis.
- Communicates with customers and users to elicit and gather client requirements.
- Participates in the preparation of detailed documentation and requirements.
- Utilizes specific organizational methods, tools and techniques for requirements analysis.
What You Will Get!Our goal at Caterpillar is for you to have a rewarding career. Our teams are critical to the success of our customers who build a better world.
Here you earn more than just an hourly wage, because we value your performance, we offer a total rewards package that provides day one benefits along with the potential of annual bonuses.
- Additional benefits include paid vacation days and paid holidays (prorated based upon hire date).
- Medical, dental, and vision coverage
- Paid time off plan (Vacation, Holiday, Volunteer, Etc.)
- 401k savings plan
- Health savings account (HSA)
- Flexible spending accounts (FSAs)
- Short and long-term disability coverage
- Life Insurance
- Paid parental leave
- Healthy Lifestyle Programs
- Employee Assistance Programs
- Voluntary Benefits (Ex. Accident, Identity Theft Protection)
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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
Domestic relocation assistance is offered for this position.
Summary Pay Range:$112,710.00 - $183,140.00
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.
Relocation is available for this position.
Visa Sponsorship is not available for this position.
Posting Dates:August 21, 2026 - August 28, 2026
Any offer of employment is conditioned upon the successful completion of a drug screen.
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