Data Scientist II

Career Area:

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar yourejoining 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 dontjust 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.

Job Description:

The Strategic Procurement & Planning Division (SPPD) is hiring a Data Scientist to build the analytical tools reporting systems and datadriven insights that enable Machine Sales & Operations Planning across Caterpillar and its global dealer network. This role will play a critical part in advancing factbased decisionmaking across the enterprise.

In this position you will design and refine analytical models build scalable and intuitive reporting solutions and transform complex data into actionable insights that enhance our endtoend planning processes. You will collaborate closely with business process owners product groups dealers and crossfunctional teams to ensure our data products are accurate trusted and aligned with enterprise priorities.

Your work will directly support inventory optimization demand planning and order management while strengthening operational performance across the value chain.

What You Will Do:

• Collaborate with business stakeholders to understand informational needs gather requirements and translate them into analytical solutions that support strategic and operational decisionmaking.

• Analyze large and complex datasets to identify trends generate insights and support Machine Sales & Operations Planning activities.

• Develop scalable data pipelines and automated reporting solutions to efficiently collect clean transform and prepare highvolume data for analysis.

• Apply data quality best practices to ensure accuracy consistency and reliability of datasets and analytical outputs.

• Maintain clear documentation and reproducible code to minimize technical debt and support longterm sustainability of analytical products.

• Build endtoend automated reporting and analytics workflows that improve efficiency and reduce manual effort across the organization.

• Ensure highquality deliverables by developing test cases validating results and confirming robustness across data scenarios.

• Communicate analytical findings insights and recommendations clearly and effectively to senior leaders and key stakeholders tailoring messages to both technical and nontechnical audiences.

What You Will Have:

• Bachelors degree in engineering statistics data science or a related field with 45 years of professional experience; or a Masters degree with 23 years of experience; or a PhD in a relevant discipline.

• Proficiency with industrystandard data engineering analytics and visualization toolsincluding Snowflake SQL Python Power BI and Power Automateis required.

Top candidates will also have:

• Experience driving innovation by embedding analytics and AI into digital product workflows enhancing automation decisionmaking and user experience

• Strong analytical and problemsolving skills with the ability to interpret complex datasets and identify actionable insights

• Ability to build clear intuitive dashboards and visualizations that effectively communicate insights

• Strong communication skills with the ability to translate technical findings into businessfocused recommendations

• Experience collaborating with crossfunctional teams and influencing decisions through datadriven insights

• Solid understanding of data quality principles data governance and best practices for maintaining reliable datasets

• Ability to manage multiple priorities work independently and deliver highquality results in a fastpaced environment

• Commitment to producing reproducible welldocumented and maintainable analytical work

• Curiosity a continuouslearning mindset and a passion for solving complex business problems through data

Skill Descriptors
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.
Level Working Knowledge:
Explains the basic decision process associated with specific statistics.
Works with basic statistical functions on a spreadsheet or a calculator.
Explains reasons for common statistical errors misinterpretations and misrepresentations.
Describes characteristics of sample size normal distributions and standard deviation.
Generates and interprets basic statistical data.

Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
Level Extensive Experience:
Evaluates and makes contributions to best practices.
Processes large quantities of detailed information with high levels of accuracy.
Productively balances speed and accuracy.
Employs techniques for motivating personnel to meet or exceed accuracy goals.
Implements a variety of cross-checking approaches and mechanisms.
Demonstrates expertise in quality assurance tools techniques and standards.

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.
Level Working Knowledge:
Approaches a situation or problem by defining the problem or issue and determining its significance.
Makes a systematic comparison of two or more alternative solutions.
Uses flow charts Pareto charts fish diagrams etc. to disclose meaningful data patterns.
Identifies the major forces events and people impacting and impacted by the situation at hand.
Uses logic and intuition to make inferences about the meaning of the data and arrive at conclusions.

Posting Dates:

Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply

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