Senior Data Scientist

Caterpillar•Peoria, IL

17h•$112,710 - $183,140

About The Position

Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. This Senior Data Scientist will be joining the Caterpillar Rental Data Engagement Team of CAT Digital. This team is responsible for partnering with Caterpillar Dealers to help them understand equipment rental data more effectively to help them make data driven decisions for their business. The Senior Data Scientist will performs analytical tasks and initiatives on huge amount of data to support data-driven business decision and development.

Requirements

Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
Programming Languages : Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.

Nice To Haves

Bachelor’s Degree in Computer Science, Engineering or related field
Extensive experience with Python, SQL for data extraction, validation and management
Proven experience with Data warehousing projects; Snowflake preferred
Experience building security systems models for data warehouses
Familiarity with Machine Learning techniques and technologies with R, Python, etc.
Proven experience interfacing with customers to create requirements for data science needs preferred

Responsibilities

Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models.
Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.
Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.
Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.