Data Scientist-Engine Data Analytics

Role Overview

As a Data Scientist-Engine Data Analytics at Caterpillar Inc., you will be part of a global team that cares about both the work you do and each other. You will be responsible for directing data gathering, data mining, and data processing processes, creating appropriate data models, and exploring, promoting, and implementing semantic data capabilities.

What You Will Do

Your responsibilities will include directing data gathering, data mining, and data processing processes in huge volumes, creating appropriate data models, and exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis, and machine learning techniques.

Why It Might Be a Fit

To be successful in this role, you will need to have hands-on experience in data analytics, Python, Tableau, SQL, and Oracle DB, as well as exposure in the Automotive/Manufacturing industry. You will also need to have strong analytical thinking skills, accuracy and attention to detail, and the ability to work with limited amounts of detailed information with good accuracy.

Requirements

• 3-7 years of work experience in data analytics
• Hands-on exposure in Python, Tableau, SQL, and Oracle DB
• Exposure in Automotive/Manufacturing industry
• Knowledge of statistical tools, processes, and practices
• Ability to use statistical tools and processes to assist in making business decisions
• Understanding of the necessity and value of accuracy
• Ability to complete tasks with high levels of precision
• Knowledge of techniques and tools that promote effective analysis
• Ability to determine the root cause of organizational problems and create alternative solutions
• Knowledge of principles, technologies, and algorithms of machine learning
• Ability to develop, implement, and deliver related systems, products, and services
• Knowledge of basic concepts and capabilities of programming
• Ability to use tools, techniques, and platforms in order to write and modify programming languages
• Knowledge of data management systems
• Ability to use, support, and access facilities for searching, extracting, and formatting data for further use
• Knowledge of tools, methods, and techniques of requirement analysis
• Ability to elicit, analyze, and record required business functionality and non-functionality requirements

Tagged as: Data Analysis, Python, SQL, Tableau