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About the Role

The Cybersecurity GRC – Technology & Analytics team of Caterpillar IT is seeking a Lead Data Scientist to be a technical expert, working in a team environment, to support the development, integration & enhancement for Caterpillar in Advanced Analytics and GenAI initiatives. This role involves enhancing team creativity, maintaining knowledge of current approaches, and pushing technical boundaries while meeting customer commitments. The Lead Data Scientist acts as a technical leader for establishing and maintaining a sound analytic approach to problem-solving and building networks within the technical community to foster collaboration and remove roadblocks.

Responsibilities

Participate in the design and development of Data and Analytic Solutions including GenAI as part of Strategic Cybersecurity projects and programs.
Provide input into technology roadmaps and application evolution plans.
Act as a researcher and evaluator of new technology, information, or integration standards.
Report to an Analytics Supervisor and bear primary responsibility for solving business problems through applied analytics and directing the team technically.
Conduct Data Discovery, data preparation, and data processing for business intelligence and ML / AI Models.
Explore, promote, and implement semantic data capabilities through data analytics and machine learning techniques.
Define requirements and scope of data analyses.
Present and report possible business insights to management using data visualization technologies.
Conduct research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.
Plan technical deliverables and definition of done for each sprint for Jr. Data Engineers.
Communicate and present technical deliverables to stakeholders and business in an easy-to-understand way.
Demonstrate a breadth of knowledge in the application of statistical methods and/or digital methods to solve business problems.
Develop, validate, train, and implement statistical models, and implement digital solutions.
Participate on 3-4 projects/products concurrently.
Demonstrate strong initiative to research and apply new methods to exceed customer expectations.
Maintain a strong focus on continual learning in the Analytics field.
Solve low to medium complexity problems using thorough statistical and/or digital technology knowledge.
Explain conclusions to customers with limited knowledge and experience with quantitative analytical methods.

Requirements

Extensive experience with 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.
Extensive knowledge of principles, technologies, and algorithms of machine learning.
Extensive knowledge in the application of Python programming to solve business challenges.
Ability to use tools, techniques, and platforms to write and modify programming languages.
Extensive knowledge of data management systems.
Ability to use, support, and access facilities for searching, extracting, and formatting data for further use.
Ability to conduct thorough data analysis and produce data mapping documents per business requirements.
Extensive capabilities in SQL, data modeling, and understanding of data processing including ETL / ELT.
Working knowledge of tools, methods, and techniques of requirement analysis.
Ability to elicit, analyze, and record required business functionality and non-functionality requirements.
Typically Master’s degree in Applied Statistics, Data Science, Business Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Computer Science, Engineering, Informatics, Information Systems Management, Mathematics, MBA with Technical Undergrad, Predictive Analytics, Statistics, or equivalent technical degree.
Extensive experience applying Python (NumPy, SciPy, pandas, etc) programming to solve business challenges.
Extensive experience (typically 8 years+) with advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc.
Extensive experience in practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks.
Advanced experience in quantifying the costs, benefits, risks, and chances for success before recommending a course of action.
In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field.
Extensive knowledge of techniques and tools that promote effective analysis.
Ability to determine the root cause of organizational problems and create alternative solutions.
Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc).
Extensive experience with Snowflake and SQL.
Advanced experience in DevOPs and ML-OPs.
Extensive experience with the necessity and value of accuracy.
Ability to complete tasks with high levels of precision.
Good understanding of Agile Best Practices to work with Project Manager and Team to Plan, Effort Estimation, Check Quality, Document and Deliver on time.
Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.
Presenting technical work in small or large settings of Stakeholders and Leaders.
Experience with GenAI is a plus.
Any offer of employment is conditioned upon the successful completion of a drug screen.

Skills

Advanced Analytics
GenAI
Data Discovery
Data Preparation
Data Processing
Business Intelligence
ML / AI Models
Semantic Data Capabilities
Data Analytics
Machine Learning Techniques
Data Visualization
Data Model Optimization
Statistical Methods
Digital Methods
Statistical Models
Digital Solutions
Python
NumPy
SciPy
pandas
SQL
Data Modeling
ETL / ELT
Requirements Analysis
Cloud Technologies (AWS, Azure, Google Cloud, etc.)
Snowflake
DevOps
MLOps
Agile Best Practices

Location

East Peoria-IL
Irving-TX
Nashville-TN

Work Type

Onsite

Experience Level

8 years+

Education Level

Master’s degree in Applied Statistics, Data Science, Business Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Computer Science, Engineering, Informatics, Information Systems Management, Mathematics, MBA with Technical Undergrad, Predictive Analytics, Statistics, or equivalent technical degree.

Salary/Compensations

$128,470.00 - $208,770.00

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

About the Company

For more than a century, Caterpillar has helped build a better, more sustainable world.
With 2025 sales and revenues of $67.6 billion, Caterpillar Inc. is shaping the future as the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives.
Backed by one of the largest independent global dealer networks and financing services through Cat Financial, the company’s primary business segments: Power & Energy, Construction Industries and Resource Industries are solving customers’ toughest challenges through commercial excellence and advanced technology, driven by a highly skilled, dedicated global team.
Learn more at www.caterpillar.com.
There’s more to work at Caterpillar than just the work itself.
We hire smart, friendly people and it shows in our culture.
We hold ourselves to high standards and make sure our values of integrity, excellence, teamwork, commitment and sustainability come to life in the way we work.
We make sure our employees feel continuously challenged while also supported.
We provide professional growth opportunities, including leadership programs.
We celebrate the diversity of our team, while also working together as one Caterpillar.
Our culture, like everything at our company, is made possible by each employee’s contribution.
Person by person, we create the environment we work in, and we are proud of the Caterpillar we’ve built.

Equal Opportunity

Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities.
Qualified applicants of any age are encouraged to apply.