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# Lead Data Scientist, Cat Digital

- **Company:** Caterpillar
- **Location:** Peoria, IL, United States
- **Experience:** Expert
- **Salary:** $128,470.0 - $208,770.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Business Logic, Microsoft Azure, Big Data, IBM Rational ClearCase, Cloud Computing, Encodings, Computer Programming, Extract Transform Load (ETL), Data Visualization, Database Connection, Integrated Development Environments, Python (Programming Language), Machine Learning, NumPy, SciPy, Software Engineering, Software Systems, Subversion, Google Cloud, Feature Engineering, Git, Pandas, Information Technology, Data Analytics, Data Management, Domain Driven Design, Programming Languages
- **Published:** August 20, 2026
- **Apply:** https://www.nexxt.com/job.asp?id=3360130615&tx=KJ909PFK&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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., * Extensive experience utilizing quantitative analysis
 * Must be comfortable working in industry standard statistics and data visualization packages.
 * Experience in design / development of heavy equipment (ex. automotive, aerospace, engine, transmission, construction, mining, industrial, etc)
 * Extensive experience applying python (NumPy, SciPy, pandas, etc) programming to solve business challenges
 * Experience with cloud technologies (AWS, Azure, Google Cloud, etc)
 * Experience working in a software development environment using GIT, SVN, AZDO, Clearcase, etc
 * Bachelors, Masters, or PhD degree that can include Aerospace, Applied Statistics, Business Analytics, Business Intelligence & Analytics, Computer Science, Computer Science, Engineering (various), Informatics, Information Systems Management, Mathematics

## Description

The Cloud Analytics Engineering team within Advanced IoT Analytics is seeking a talented and motivated Lead Data Scientist to lead important projects in electrification, aftermarket analytics, and other corporately strategic analytics focus areas. The high-impact insights found through this role will shape the way that Caterpillar designs future machines & develops innovative solutions for our customers. To accomplish these daunting challenges, this role will require a skillset in advanced statistical techniques (such as machine learning) as well as domain knowledge of heavy equipment.

What You Will Do:

 * Under the direction of their leader, this position will participate on cross-functional project teams, provide overall guidance to the technical direction of the project, and mentor Jr Information Scientists on the technical approaches being used in order to solve a problem presented by a Caterpillar Business Unit or Service Organization, a Caterpillar Dealer, or a Caterpillar Customer.
 * Demonstrate a breadth and depth of knowledge in the application of statistical and/or digital methods to solve business problems
 * Participate on 3-4 projects concurrently
 * Demonstrate thorough knowledge of Caterpillar Inc.; its products and services; its internal systems, processes, and procedures; and its relevant external influences (competitors, laws and regulations, market conditions, etc.)
 * Demonstrate strong initiative to research and apply new methods and digital technologies to exceed customer expectations.
 * Demonstrate significant knowledge in the use of Data Analytics software solutions
 * Significant challenges of this position are working with people; enhancing the team's creativity; maintaining knowledge of approaches used in similar projects; and pushing the technical bounds of experimentation while meeting customer commitments.
 * Solving the business problem presented through applied analytics.
 * He or she should also have a comprehensive knowledge of Caterpillar Inc.; its products and services; its internal systems, processes, and procedures; and a general understanding of Caterpillar's external customers, competitors, and market influencers., * Time-series forecasting & modeling - building and validating multi-horizon (13-18 month) demand forecasts with SARIMAX, gradient/ElasticNet, and ensemble/foundation models, including backtesting, lag-correlation analysis, and MAPE-based model selection.
 * Large-scale data wrangling - efficiently profiling, cleaning, and joining messy multi-source data (500MB+ feeds, 70+ columns, free-text fields) using chunked/memory-aware pandas and reproducible ETL pipelines.
 * Signal fusion & feature engineering - translating external and internal signals (Dodge projects, telematics/VisionLink, STU, CUPA, PINS) into leading indicators at market-region and dealer granularity.
 * Domain-driven classification & rules design - encoding business logic into transparent, tunable models (keyword + facility-propensity scoring, exclusion rules, value tiers) to segment megaprojects and flag opportunities the business trusts.
 * Communication & visualization - producing decision-ready outputs (branded dark-theme charts, geospatial heatmaps, narrative summaries) and grounding analysis in S&OP domain knowledge to drive forecast-improvement decisions.


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