Career Area:
Information Analytics
Job Description:
As an Associate Data Scientist at Caterpillar, you may work on locating and obtaining data from various internal and external sources; collecting Critical Customer Requirements; applying associated digital technologies; communicating with internal customers, team members, and stake holders; answering routine requests for information; and providing support to the teams on which you serve.
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. Caterpillar uses quantitative methods such as business simulations, data mining, and advanced statistical techniques to solve problems for internal and external customers. You may use data analysis, data management, and/or data visualization skills as an individual contributor to project teams tasked with solving business problems. Opportunities may include rotations into other teams to expand learning and skill building.
Cat Digital is the digital and technology arm of Caterpillar, the world's leading manufacturer of construction and mining equipment, diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives.
Cat Digital is leading our industry with the utilization of data, analytics, innovation, digital channels and techniques to drive profit, create more efficient revenue growth, unlock new revenue streams, and provide more durable competitive advantages for the business through unexpectedly great experiences for our customers.
Basic qualifications:

• Must be currently participating in a Caterpillar Corporate Student Program
• Currently attending a 4-year accredited university/college or have completed a minimum bachelor's degree in data science, data analytics, statistics, economics, mathematics, or related program
• Minimum cumulative GPA requirement 3.0/ 4.0 (no rounding)
• Graduation date between August 2022 through May 2023
• Must be able/willing to relocate to work location

Top candidate will also 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
• Applied math, numerical techniques & modeling experience
• 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

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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