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Caterpillar Inc. is a global manufacturing company that develops heavy equipment and engines for construction, mining, energy, and other infrastructure-focused industries. Its product portfolio includes excavators, dozers, articulated trucks, and power systems, supported by advanced technology and a worldwide dealer network. Founded in 1925, the company combines long-standing industrial expertise with a focus on improving productivity and advancing more sustainable equipment and operations.
Senior Data Scientist, Remanufacturing Analytics (Onsite)
Lead machine learning, AI, and Power BI solutions for Caterpillar’s sustainable remanufacturing operations. Drive production analytics, governed workflows, and stakeholder-focused business improvements.
United States
Illinois
Mississippi
North Dakota
Texas$112,710 – $183,140 / year
On-siteFull-timeSeniorEnglish RequiredData ScientistDescription
- Lead the design, development, and deployment of advanced analytics, machine learning, and AI solutions across the Reman Division
- Apply statistical modeling, machine learning, optimization, forecasting, simulation, and experimentation methods
- Develop, validate, and operationalize descriptive and predictive analytics models in Python
- Create analytics products and decision-support tools using machine learning outputs, curated data assets, and Power BI reporting
- Work with business stakeholders to define analytical problems, success measures, requirements, and insight communications
- Research and implement generative AI, intelligent agents, natural language interfaces, and automation solutions
- Build governed, production-ready workflows with Python, Kedro, dbt, Docker, AWS, Snowflake, and Azure DevOps
- Partner with data engineering and platform teams on pipelines, semantic models, data quality frameworks, and governed data products
- Establish practices for source control, code review, automated testing, experiment tracking, model documentation, reproducible pipelines, and deployment
- Lead Agile planning, analytical design reviews, model reviews, and project delivery
- Mentor colleagues in data science, machine learning, AI development, and analytics engineering
- Advance reusable, standardized analytical products while reducing technical debt
- Set standards for model documentation, metadata, knowledge sharing, monitoring, and operational support
Requirements
- Bachelor’s degree in engineering, computer science, or another technical field, or demonstrated equivalent work experience
- Hands-on experience developing Python-based data science and machine learning solutions, including model development, validation, deployment, monitoring, and continuous improvement
- Strong knowledge of supervised and unsupervised learning, forecasting, optimization, statistical analysis, feature engineering, model evaluation, and applying machine learning to business problems
- Experience creating AI-enabled solutions such as generative AI applications, natural language solutions, intelligent agents, or automation tools
- Practical experience with dbt, Kedro, AWS, Docker, Snowflake, Azure DevOps, Git, and Power BI
- Ability to turn ambiguous business needs into structured analytical approaches and communicate findings clearly
- Working knowledge of data engineering concepts, ELT and ETL patterns, data modeling, and data quality practices
- Knowledge of business statistics, analytical reasoning, machine learning, programming languages, query and database tools, and requirements analysis
- Successful completion of background screening required
- Successful completion of drug and alcohol screening required
- Visa sponsorship is unavailable
- Must be authorized to work without employer-specific sponsorship
Benefits
- Potential annual bonus opportunities
- Paid vacation
- Paid holidays
- Medical, dental, and vision coverage
- Paid time off for vacation, holidays, volunteer activities, and other eligible uses
- 401(k) savings plan
- Health savings account
- Flexible spending accounts
- Short- and long-term disability coverage
- Life insurance
- Paid parental leave
- Healthy lifestyle programs
- Employee assistance programs
- Voluntary benefits such as accident and identity theft protection
- Domestic relocation assistance
- Career development opportunities
- Incentive bonus
- Employee discounts
- Adoption benefits
- Tuition reimbursement
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