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.

Caterpillar is seeking a skilled Lead Data Scientist to join our team to act as a champion for our Digital Finance-Disruptive Technology Team within the Global Finance Services Division. The incumbent will report directly to the Director of Advanced Analytics within Global Finance and will bear primary responsibility for leveraging internal data and advanced analytics to solve business problems impacting the Financial Analysis Reporting and Financial Forecasting groups.

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.

What you will do:

• 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.
• Participating on 1-3 primary projects concurrently.
• Having a strong focus on continual learning in the Analytics field.
• Reporting and presenting team results.
• The Lead Data Scientist will develop good networks within the technical community to enable them to collaborate on technical solutions, obtain resources and cooperation needed, and remove roadblocks so that they can ensure the success of their projects.

What you will have:

• Analytical Thinking: Extensive knowledge of techniques and tools for effective analysis; ability to determine the root cause of problems and create alternative solutions that resolve 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.
• Must be comfortable working in MS Office, and industry standard statistics, analytics, and data visualization packages.
• Experience mechanizing manual data collection processes using Snowflake to enhance indicative data to generate quicker and more granular insights. Tables/Process could be leveraged by the Forecasting and Financial Analysis Reporting groups.
• Experience with writing fast and memory-efficient code as well as with various types of parallel processing: threading, multi-core/forking, multiple session, and cluster computing.

Additional Information:

• Travel requirements will be less than 10%
• This position will be located in the following location: Irving, TX
• Domestic relocation is available to those that qualify
• VISA Sponsorship is NOT available

Posting Dates:

September 18, 2024 - October 1, 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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