Senior Data Scientist

Caterpillar Inc.•Peoria, IL

7d•$112,710 - $183,140•Onsite

About The Position

As a Senior Data Scientist, you will play a key role in building the next evolution of analytics at Caterpillar. You will work with internal customers to understand complex, nuanced problems and partner with data engineers, scientists, and other analysts to design data products to answer their questions. This role sits in the Earthmoving Division (EMD) Finance organization and will work cross-functionally to support decision makers across all of the Construction Industries (CI) segment.

Requirements

Professional experience in data analytics or data science role.
Highly skilled in using SQL, Dashboards (Tableau, Power BI), Python, Microsoft Excel, PowerPoint, Snowflake or cloud data services.
Highly skilled in data analytics techniques, automation, data science, AI to drive business KPI results.
Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
Project management skills, process/LEAN savvy.
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 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.
Knowledge of the concepts, methodologies and methods of research analysis; ability to locate, interpret and evaluate research findings compiled and documented by others.

Nice To Haves

Intermediate to advanced understanding of 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.
Experience working in an ambiguous environment with unclear expectations, changing requirements, and conflict.
Experience with project management concepts including project charters, scheduling and planning projects and successful completion.
5+ years of business insights and automation related experience preferred.

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 creation of new data products and automations.
Lead the development of junior data scientists and citizen developers – creating/curating guides, resources, and standards to support implementation of the analytics strategy.
Develop engaging, actionable, and visually appealing reports and dashboards in Microsoft PowerBI.