Data Scientist Jobs

About The Position

Requirements

• 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.
• 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.
• 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

Responsibilities

• 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.

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