Data Scientist II

Caterpillar Inc.•Peoria, IL

3d•$97,530 - $158,480•Onsite

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.

Requirements

Skilled in using SQL, data visualization, Python, Snowflake or cloud data services.
Experience with data analytics techniques, automation, data science, AI to drive business KPI results.
Ability to deploy and maintain production-level code.
Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
Excellent oral and written communication skills.
Demonstrated ability to effectively communicate and collaborate with internal and external business partners including senior leaders.
Excellent human relations skills to develop a collaborative environment with leadership and key stakeholders.
Knowledge of the activities, tasks, practices and deliverables for assessing and documenting business opportunities; ability to assess the benefits, risks, and success factors of potential applications.
Knowledge of concepts, methodologies and methods of research analysis; ability to locate, interpret and evaluate research findings compiled and documented by others.

Nice To Haves

Professional experience in data analytics or data science role
Professional experience developing and deploying machine learning models (supervised and unsupervised)
Intermediate to expert knowledge in Python or another object-oriented programming language
Technical background using datasets in SQL
Experience creating visuals and modeling data in Power BI
Ability to collect required business data through various data sources and apply data analysis techniques to establish, modify, and maintain business data structures
Strong communication skills with the ability to explain work to business partners with limited data knowledge

Responsibilities

Transform business questions into technical requirements that can deliver flexible, sustainable data products to serve the business.
Investigate and assess gaps in business process and data assets to recommend changes to and create new data products and automations.
Develop machine learning models and AI assisted analysis / tools to deliver faster insights and better decision making
Develop engaging, actionable, and visually appealing reports and dashboards in Microsoft PowerBI (or other visualization techniques, including Python)