Data Scientist II

Caterpillar - Chicago, IL

Full-time - Mid Level

Remote - Chicago, IL

Machinery Manufacturing

About the position

The Data Scientist II position at Caterpillar involves working as an independent contributor within multi-person analytic teams. The role focuses on utilizing quantitative analytic methods and digital technologies to address complex issues, mentor junior team members, and enhance data management practices. The position requires effective communication with business teams to understand their needs and improve existing models or develop new ones, while also managing data manipulation in a cloud environment.

Responsibilities

• Work as an independent contributor in multi-person analytic teams.
• Utilize quantitative analytic methods and data management techniques.
• Make decisions on routine, medium risk issues affecting project teams and internal customers.
• Mentor and develop junior information scientists.
• Facilitate the construction and usage of the CAT Data Platform using data from various domains.
• Communicate effectively with business teams to understand their needs for model improvement or development.
• Perform data manipulation in a cloud environment using Snowflake and AWS services.
• Use Hadoop and Spark for big data processing on AWS to optimize time and cost.
• Conduct data cleansing and quality improvement using SQL and Python.
• Build models using Natural Language Processing (NLP) and Machine Learning techniques.
• Maintain a data pipeline integrating CAT customer, asset, and contact data.
• Report digital platform metrics through PowerBI dashboards.
• Collaborate with software engineering teams for proof of concept works and productionization.

Requirements

• Bachelor's degree in Statistics, Mathematics, or a related quantitative field.
• Two years of professional experience as a Data Engineer, Data Analyst, or related occupation.
• Experience with Python programming.
• Proficiency in SQL and AWS.
• Experience in creating Machine Learning models.
• Knowledge of statistical analysis techniques.
• Experience in creating data visualizations using BI tools.
• Familiarity with Natural Language Processing (NLP).
• Experience working with software engineering teams.

Benefits

• 100% Telecommuting Allowed