Data Scientist

Caterpillar Financial Services Corporation; East Peoria (IL); On-site; USD 90,000 - 130,000; Full time

Job summary

Caterpillar Financial Services Corporation in East Peoria, IL seeks a Data Scientist to partner with the Power and Energy Drivetrain team. You will analyze large data volumes, apply NLP and machine learning, and present insights to leadership using data visualization tools. Strong collaboration with business users to translate requirements and deliver deployable data solutions.

This role emphasizes data-driven decision making, accuracy, and scalable models to support operational excellence.

Qualifications

• Experience with large-scale data processing and analysis.
• Knowledge of NLP and ML techniques.
• Ability to translate business needs into data-driven solutions.

Responsibilities

• Direct data gathering, data mining, and data processing for large volumes of data.
• Explore and implement semantic data capabilities via NLP and ML methods.
• Define requirements and scope of analyses; present insights to management with visualizations.
• Research data model optimization and algorithms to improve accuracy.
• Designs and develops data solutions; collaborates with stakeholders to collect requirements for deployment.
• Contribute to standardized best practices, tools, and training.

Skills

Data mining

NLP

Machine learning

Data visualization

Data modeling

Statistical analysis

Stakeholder communication

Job description

Career Area:

Technology, Digital and Data

Job Description:

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.

About Power & Energy Procurement

Caterpillar’s Power & Energy Procurement organization plays a critical role in supporting all divisions within Power & Energy. Our work is geared towards our pistons of Predictable Supply Excellence, Optimized Total Cost of Ownership, Supplier Relationship Management and Lifecycle Sourcing Strategy. We continue to develop suppliers who competitively deliver operational excellence, enabling our customers to build a better world. With a strong focus on data-driven decision-making and operational efficiency, Power & Energy Procurement leverages advanced tools and processes to connect the physical and digital supply chain, enabling business units to deliver high-performance solutions that meet evolving customers and business needs.

Role Definition

We are seeking a Data Scientist to partner closely with the Power and Energy Drivetrain team. In this role, you will analyze large volumes of data to support data-driven business decisions, identify insights, and contribute to solution development.

What You Will Do

• Directing data gathering, data mining, and data processing processes in huge volume; creating appropriate data models.

• Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.

• Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.

• Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.

• Designs and develops solutions, collaborates with senior stakeholders and business users to collect VOB/VOC, business requirements, and prepares implementation plans for successful deployment.

• Contributes to strategic initiatives such as the development of standardized best practices, offerings, services and development of associated tools & training.

What You Will Have:

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