Caterpillar Inc. · 5 hours ago
Lead Data Scientist
Peoria, IL
Full-time
Onsite
Senior Level, Lead/Staff
$128K/yr - $209K/yr
5+ years expCaterpillar Inc. is a global leader in manufacturing construction and mining equipment, and they are seeking a Lead Data Scientist to provide specialized expertise in forecast analytics for aftermarket parts. The role involves managing analytical processes, overseeing the Parts Long-Term Forecast process, and delivering insights through Power BI dashboards to enhance decision-making and operational efficiency.
ConstructionMachinery ManufacturingManufacturingMechanical Engineering
No H1B
Responsibilities
Responsible for answering questions regarding the Dealer Parts Orders (DPO) product-based allocation
Own the Parts LTF process: system architecture design, analytics solution development, and user training
Own the design, development and maintenance of PowerBI dashboards to deliver the forecast analytics solutions
Responsible for the integrity of the disaggregation of the S&OP forecast
Own the foundational research in leveraging Gen AI LLM models for explainable forecast initiative
Lead design and implementation of LLM-powered analytics insight generation to explain forecast miss
Own the statistical modelling for calculating forecast confidence intervals for aftermarket parts
Responsible for the integrity of the annual business plan disaggregation for DPO
Regularly and accurately maintain and update DPO systems and answer all related queries for their assigned allocations
Responsible for setting priorities and preparing work plan to complete broadly defined assignments and achieve desired results
Responsible for Value Stream Mapping for Business Process analysis and improvement
Responsible for Impact key quality goals including Customer Satisfaction, Continuous Improvement, Timeliness, Accuracy, Efficiency, Cost Savings, Process Quality, etc
Qualification
Required
In-depth knowledge of statistical methods, models, tools, and techniques, as used as industry-best-practices to solve diverse business problems and support business decision-making
In-depth knowledge of fundamental concepts of time series stationarity, seasonality, and time series decomposition
In-depth knowledge of principles, technologies and algorithms of machine learning and deep learning; Demonstrated ability to develop, implement and deliver related systems, products and services
Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision
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
Knowledge of basic concepts and capabilities of analytics programming languages; Ability to use tools, techniques and platforms in order to write and modify analytics programs; Proficiency in the following: Analytics Programming Language: Python, R, SQL and SAS; Data Engineering and Warehousing: Snowflake; ML Platform: PyTorch or Tensorflow; Insights Delivery: PowerBI; Rshiny / Dash / Streamlit; Cloud Platform: AWS (S3, EC2, LAMBDA, Glue, Sagemaker) or its equivalent in Azure; AI and Gen AI Orchestration: Ollama, AWS Bedrock / Sagemaker or Azure ML / Azure OpenAI
Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use; Specifically, Proficiency in Snowflake SQL
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. Specifically, Experience in Azure DevOps
Preferred
Doctoral or Master's degree with 5 years of experience or a Bachelor's degree with 10 years of experience in Computer Science, Mathematics, Engineering, Accounting, Statistics, Data Science, Business Analytics, or a closely related field with extensive coursework in mathematical and statistical modeling
5+ years of extensive experience in applying statistical models and methods to solve wide range of industry problems
5+ years of extensive experience in applying statistical tools and techniques for time series analysis and modelling; demonstrating deep understanding of fundamental concepts of time series analysis: stationarity; seasonality; time series decomposition
5+ years of extensive experience in developing end-to-end analytics solutions that span from data pipeline to insights delivery
Deep expertise and experience in applying classical statistical modelling methods, tools and techniques for time series forecasting included in the GLM, ARIMA and State Space family of models
Deep expertise and experience in contemporary deep learning tools and techniques for time series forecasting included in Transformer family of models with self-attention mechanism
Deep understanding of models and methods for Hierarchical time series and forecast reconciliation
Extensive experience and proficiency in R, Python and SQL / Snowflake queries
Experience with AWS Cloud platform and AWS Glue
Experience with Alteryx and SAS
Extensive experience with PowerBI for development of reporting dashboards
Experience with Rshiny / Dash / Streamlit for development of interactive web application for forecast analytics
High level of interpersonal skills and excellent communication and storytelling skills
Experience in Value Stream Mapping for Business Process analysis and improvement
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
Company
Caterpillar Inc.
For 100 years, we’ve been helping customers build a better, more sustainable world.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$3.51BKey Investors
US Department of EnergyAdvanced Propulsion Centre UK
2025-08-28Post Ipo Debt· $3.5B
2024-10-31Grant· $5.04M
2019-06-23Grant
Leadership Team
George Moubayed
Chief Sustainability and Strategy Officer / Senior Vice President Enterprise Strategy Division
E
Eric Sporre
Vice President & Global Chief Information Security Officer (CISO)
Recent News
Arizona Daily Star
2026-02-08
2026-02-07
Company data provided by crunchbase