Data Scientist

Caterpillar Inc.•Morton, IL

2d•$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 care not just about the work we do – but also about each other. We are the makers, problem solvers and future work 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. Our Product Support and Logistics Division (PSLD) is one of the most innovative divisions within Caterpillar. In PSLD, as within all of Caterpillar, our priority is our customers and helping them build a better world. We touch nearly every element of the services value stream. PSLD is responsible for Aftermarket Parts Distribution of Cat Parts, Integrated Logistics and Global Services supporting Caterpillar dealers and customers. Our teams work together in critical areas that leverage digital capabilities, technology and operational excellence. As a Data Scientist, you will be responsible for developing and maintaining data-driven solutions that support the Claims and Returns organization. You will use programming and analytical tools, including SAS and Microsoft Power Platform, to create and enhance applications, data tables, reports, and on-demand analyses. This role will also troubleshoot and improve existing reporting solutions, respond to ad hoc data and application requests, lead moderately complex projects, and communicate findings and solutions to senior management while building an understanding of Returns and Claims processes across SPM and legacy systems.

Requirements

Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
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

At least one year of hands-on programming or coding experience in a professional environment.
Experience developing, maintaining, and troubleshooting code, queries, reports, or data solutions.
Experience working with Snowflake data sets and related data environments.
Experience with Customer Relationship Management (CRM) systems or the underlying data used to support them.
Familiarity with Caterpillar systems, processes, and data environments.
Demonstrated ability to work independently, troubleshoot problems, and drive solutions with limited day-to-day technical guidance.
Ability to quickly understand business needs and translate them into effective technical or data solutions.

Responsibilities

Provide technical support for reporting and data solutions used by Supply Planning Management (SPM) and Legacy Claims and Returns teams.
Develop, maintain, troubleshoot, and enhance reports, data tables, applications, and analytical solutions.
Fulfill new and ad hoc reporting requests, including gathering requirements, identifying appropriate data sources, developing code and queries, and publishing solutions through Power BI or SAS.
Use programming and analytical skills to develop applications and solutions that address business and reporting needs.
Maintain and update existing SAS programs, reports, and data processes to support evolving business requirements.
Analyze data and reporting needs to identify opportunities for improved or innovative data sets, reports, and technical solutions.
Investigate and resolve reporting issues, including repairing and enhancing existing reports and applications.
Lead moderately complex projects using project management, Six Sigma, and Lean methodologies to manage deliverables, presentations, timelines, and project activities.
Collaborate with cross-functional teams, including SPM, Legacy Claims and Returns, Policy, Warehouse Operations, and Implementation teams.
Partner with team members and stakeholders across multiple global regions to understand requirements and deliver effective data and reporting solutions.
Communicate technical information, project updates, analyses, and recommendations effectively to business partners and senior management.