Data Scientist

Caterpillar Inc.•East Peoria, IL

5d•$97,530 - $158,480•Onsite

About The Position

We are seeking a Data Scientist to partner closely with the Power and Energy Drivetrain team. In this role, you will analyze large volumes of data to support data-driven business decisions, identify insights, and contribute to solution 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.
Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
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.

Nice To Haves

Knowledge of business process improvement best practices and ability to use methods for identifying, evaluating, introducing and implementing more efficient approaches to performing business related activities.
Ability to move beyond data collection and reporting by translating data into recommendations that drive business decisions and process improvements.
Experience working with enterprise data platforms such as Snowflake, including querying, validating, and connecting data sources to reporting and visualization tools.

Responsibilities

Directing 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.
Designs and develops solutions, collaborates with senior stakeholders and business users to collect VOB/VOC, business requirements, and prepares implementation plans for successful deployment.
Contributes to strategic initiatives such as the development of standardized best practices, offerings, services and development of associated tools & training.