2024 Data Science/Analyst Recent Grad Positions – Cat Digital

Key Skills

Amazon Elastic Compute Cloud-EC2, Amazon Simple Storage Service (S3), Analytical and Problem solving, AWS, Big Data Technology, Data science techniques, Database testing, Deep Learning, Django, HDFS, Java Programming, Machine learning techniques, MongoDB, PowerBI, Python Programming, SQL, Statistics, Tableau

Job Description

As a Data Science/Analyst Professional 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.

Additional areas of responsibility may include data collection and analysis; development, validation, application, and refinement of statistical models; application of related digital technologies in processing both the inputs and outputs from the models.

Opportunities may include rotations into other teams to expand learning and skill building.

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:

• Currently attending or recently graduated from a 4-year accredited university/college with 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 2023 through June 2024
• 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

Minimum starting salary: $85,000 annually

Benefits:

• Medical, dental and vision coverage
• Paid time off plan (Vacation, Holiday, Volunteer, Etc.)
• 401k savings plan
• Health savings account (HSA)
• Flexible spending accounts (FSAs)
• Short and long-term disability coverage
• Life Insurance
• Paid parental leave
• Healthy Lifestyle Programs
• Employee Assistance Programs
• Voluntary Benefits (Ex. Accident, Identity Theft Protection)
• Relocation benefits, based on qualifications