Career Area:
Information Analytics
Job Description:
Caterpillar is investing in our digital future, and we're looking for innovative and curious Data Scientists to start their careers with us as a part of the Cat Digital Analytics Development Program!
The Cat Digital - Analytics Development Program is a two-year intentional development program designed to accelerate business and technology acumen through use of quantitative and predictive analytics work.
Through the program, participants will expand their skills through engagement with cutting edge technologies and gain an understanding of how digital and the business work together to build solutions for a better world.
Our program provides the right foundation for data scientists to thrive in a culture of intellectual curiosity and meeting challenging goals supported by a network of leaders that want you to be a contributing member of a winning team.
What is Cat Digital?
Cat Digital is the digital and technology arm of Caterpillar Inc., responsible for bringing world class digital capabilities to our products and services. With almost one million connected assets worldwide, we're focused on using IoT and other data, technology, advanced analytics and AI capabilities to help our customers build a better world.
What Does This Program Look Like?
We believe that you become the best when you have the best start. That is what we will provide!

• A comprehensive introduction to Caterpillar, Inc. and Cat Digital will set you up for success working with our team, customers, and products
• Intentional experiences designed around some of our greatest customer challenges with leaders that want you to succeed
• Opportunity to explore and use the latest analytics principles and technologies such as cloud computing using AWS
• Project work using Agile methodology that includes unsupervised learning using data mining, natural language processing, and clustering, and supervised learning with deep learning, classification, prediction and inference; potential applications include forecasting, computer vision, segmentation, simulation / digital twin, and text interpretation
• Collaborate with a cohort of diverse minded program members that will challenge and support you
• Increase business acumen skills that enable you to successfully problem solve using your top analytics skills

Recruiting Timeline:

• Technical Screens scheduled for the week of October 25
• Interviews scheduled for the week of November 1
• Development Program start date is June 6, 2022

What Must I Have?

• Minimum of Bachelor's, preferred Master's, in Applied Mathematics, Data Science, Statistics, Engineering, Computer Science, Operations Research, Econometrics, Finance, Economics or a similar field with quantitative coursework
• Graduation date of May 2021 through May 2022
• Proven experience using your analytics skills to solve problems through internships, professional organizations, student group leadership or community involvement
• Evidence of leadership capabilities through internships, professional organizations, student group leadership or community involvement
• GPA of a 3.0 on a 4.0 scale

What Would be Good to Have?

• IoT, eCommerce, or Revenue Growth analytics experience
• Strong technical & problem-solving skills with accuracy & attention to detail
• Experience building and training machine learning analytics models including deep learning techniques
• Experience analyzing time series data files in HDF, netCDF, Parquet, Avro, or other big data file formats
• Experience with AWS boto3, S3, EC2, SQS, Fargate, etc
• Passion for technology and an eagerness to contribute to a team-oriented environment
• Desire to learn and grow
• Applied math, numerical techniques & modeling experience
• Minimum of two completed quantitative analysis projects (academic or industry) with Python, R or similar enterprise analytical tools
• Experience applying uncertainty quantification, statistical modeling, and optimization
• Database structures such as SQL, NoSQL, Snowflake, Django, MongoDB, etc.
• Experience visualizing solutions using tools such as Tableau or Power BI
• Top candidates will have GPA 3.5 or higher

EEO/AA Employer. All qualified individuals - including minorities, females, veterans and individuals with disabilities - are encouraged to apply.
Relocation is available for this position.Visa sponsorship available for eligible applicants.
EEO/AA Employer. All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.
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