Career Area:

Business Technologies, Digital and Data

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other.  We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Role Definition

As a Lead Data Scientist, you will act as a technical expert and mentor, working in a team environment with a group of data scientists and software developers to support the development, integration, and enhancement of Caterpillar's analytics, AI, and Generative AI projects and products.

Responsibilities:

·       Leading projects, monitoring multiple projects, providing help, mentorship, and guidance.

·       Developing ML/AI/GenAI models and solutions.

·       Performing data gathering, data mining, and data processing on large volumes of data; creating appropriate data models.

·       Demonstrating a breadth of knowledge in the application of ML/AI/GenAI and statistical methods and/or digital methods to solve business problems.

·       Conducting research on data model optimization and algorithms to improve the effectiveness and accuracy of data analyses.

·       Interacting and collaborating with team members and colleagues outside the organization, including outside of IT organization.

·       Participating on 1-3 projects concurrently.

·       Having a strong focus on continual learning in the Analytics field.

·       Reporting and presenting team results.

Skills Descriptor:

·       Analytical Thinking: Extensive knowledge of techniques and tools for effective analysis; ability to determine the root cause of problems and create alternative solutions that r3esolve these issues.

·       GenAI / AI / Machine Learning: Extensive experience and knowledge of the principles, technologies, and algorithms of GenAI, AI, and machine learning; ability to develop, implement, and deliver related systems, products, and services.

·       Statistics: Extensive knowledge of statistical tools, processes, and practices to describe results on measurable scales; ability to use statistical tools and processes to assist in making business decisions.

·       Programming Languages: Extensive experience in applying Python (NumPy, SciPy, Pandas, etc.) to solve business challenges; ability to use tools, techniques, and platforms to write and modify programming languages.

·       Information Processing: Extensive experience in processing large quantities of detailed information with high levels of accuracy.

·       Databases: Extensive knowledge in writing, debugging, and implementing complex queries involving multiple tables or databases.

·       Presentation Skills: Strong presentation and communication skills.
 

Top Candidates Will Also Have:

·       Typically, a Bachelor's, Master’s, or Ph.D. degree, preferably in statistics, economics, mathematics, or a similar field with quantitative coursework.

·       Typically, 10-12 years of professional experience utilizing quantitative analysis, or a Master’s degree with 8+ years of experience, or Ph.D. with 4+ years of experience.

·       Experience with data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc.

·       Practical applications of machine learning techniques such as clustering, logistic regression, CART, random forests, SVM, or neural networks.

·       Technical and problem-solving skills with evidence of continuous learning in the analytics field.

·       Breadth and depth of knowledge in the application of statistical and/or digital methods to solve business problems.

·       Experience with projects connecting data from various business domains and providing forecasts and insights to run the business profitably.

·       Working knowledge of cloud technologies (AWS, Azure, Google Cloud, etc.).

·       Working knowledge of version control/repositories such as GitHub.

·       Experience operating in an Agile environment.

·       Extensive experience in consulting and coaching others on sampling approaches and associated statistical significance.

·       Initiative to research and apply new methods and digital technologies to exceed customer expectations.

·       Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.

Additional Information:

·       Travel requirements will be less than 10%

·       This position will be located in any of the following locations: Peoria, IL ; Nashville, TN ; Irving, TX

·       Domestic relocation is NOT available

·       VISA Sponsorship is NOT available

This Job Description is intended as a general guide to the job duties for this position and is intended for the purpose of establishing the specific salary grade. It is not designed to contain or be interpreted as an exhaustive summary of all responsibilities, duties and effort required of employees assigned to this job. At the discretion of management, this description may be changed at any time to address the evolving needs of the organization. It is expressly not intended to be a comprehensive list of “essential job functions” as that term is defined by the Americans with Disabilities Act.

Posting Dates:

October 4, 2024 - October 6, 2024

Any offer of employment is conditioned upon the successful completion of a drug screen.   

EEO/AA Employer.  All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.

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