Senior Data Scientist

Caterpillar Inc.•Peoria, IL

8d•$112,710 - $183,140•Onsite

About The Position

The Senior Data Scientist will help build the next evolution of analytics at Caterpillar. The role works with internal customers to understand complex business problems and partners with data engineers, scientists, and analysts to design data products. It is part of the Earthmoving Division Finance organization and works cross-functionally to support decision makers across the Construction Industries segment.

Requirements

Professional experience in a data analytics or data science role.
Strong skills in SQL, dashboards such as Tableau or Power BI, Python, Microsoft Excel, PowerPoint, Snowflake or cloud data services, and analytics techniques, automation, data science, and AI applied to business KPI results.
Understanding of accuracy and precision, with project management skills and process/LEAN knowledge.
Excellent oral and written communication skills, including the ability to collaborate with internal and external business partners and senior leaders.
Knowledge of business opportunity assessment and documentation, including assessment of benefits, risks, and success factors.
Knowledge of requirements analysis methods and the ability to elicit, analyze, and document functional and non-functional requirements.
Knowledge of research analysis concepts and methods, including locating, interpreting, and evaluating documented research findings.

Nice To Haves

Intermediate to advanced understanding of Python or another object-oriented programming language.
Technical background working with datasets in SQL.
Experience creating visuals and modeling data in Power BI.
Ability to collect business data from various sources and use data analysis techniques to establish, modify, and maintain business data structures.
Strong communication skills, including explaining work to business partners with limited data knowledge.
Experience working in ambiguous environments with unclear expectations, changing requirements, and conflict.
Experience with project management concepts, including project charters, scheduling, planning, and successful project completion.
Five or more years of business insights and automation-related experience preferred.

Responsibilities

Translate business questions into technical requirements for flexible, sustainable data products.
Investigate gaps in business processes and data assets, and recommend changes or new data products and automations.
Lead the development of junior data scientists and citizen developers by creating or curating guides, resources, and standards that support the analytics strategy.
Develop engaging, actionable, and visually appealing reports and dashboards in Microsoft Power BI.