Data Scientist

Caterpillar Financial Services Corporation; Chicago (IL); On-site; USD 98,000 - 158,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k)

HSA

Tuition reimbursement

Career development

Incentive bonus

Job summary

Caterpillar is seeking a Data Scientist for Cat Digital's Analytics & Applied AI team to tackle business challenges with advanced analytical methods. You will collaborate with global service and product teams to maximize value from digital products and services, working with oils data, dealer and equipment information.

The role requires strong technical and communication skills, independence, and a drive to innovate.

Qualifications

• Bachelor's degree with 5+ years of data science experience or a Master's with 3+ years in statistics, applied mathematics, data science, analytics, engineering or computer science.
• Proficiency in Python for data analysis and modeling, including Jupyter Notebooks.
• Experience with SQL and NoSQL databases.
• Experience with cloud computing (AWS, Snowflake).
• Experience developing predictive/prescriptive analytics and machine learning models.
• Strong communication skills to explain results to technical leaders and business partners.

Responsibilities

• Act as a technical contributor on a small analytics team under the project leader.
• Balance independent work with collaboration to lead specific tasks.
• Leverage data cleaning, analysis and preparation to extract meaningful patterns.
• Apply ML, statistical modeling and causal inference to gain insights and value.
• Familiarize with company processes, products, governance and organization.
• Communicate findings effectively to leadership and partners; adapt solutions as needed.

Skills

Analytical Thinking

Data Cleaning

Machine Learning

SQL/Python

Collaboration & Communication

Education

Bachelor's degree

Master's degree

Tools

Python

SQL

NoSQL

Jupyter Notebooks

Git

AWS

Snowflake

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.

Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics and AI capabilities to help our customers build a better, more sustainable world.

Job Summary:

Advanced Diagnostics team within the Analytics & Applied AI department of Cat Digital is looking for a talented and motivated Data Scientist to help solve business challenges using advanced analytical methods. The Data Scientist will be tasked with enabling service experiences by collaborating with other Cat Digital and Global Service business teams to maximize the value extraction of our digital products and services. The Data Scientist will be part of a team using service offerings from fluids analysis data domain (oils and coolants from equipment), as well dealer, customer, and equipment information. Candidates for this position will be expected to exhibit strong technical and communication skills, an ability to explain complex concepts and draw conclusions, present to the analytics team and leadership and business partners, a penchant for innovation, strong initiative with an ability to work independently, and interpersonal and collaboration skills.

What You Will Do:

• Act as a technical individual contributor on a small multi-person analytics team with work directed by the technical project leader who reviews methods and results.
• A blend of independent work and collaboration with the autonomy to lead specific tasks of the project while also working alongside team members for larger challenges.
• Leverage existing expertise in data cleaning, analysis, quantitative analytic methods, and modeling to tackle complex issues.
• Utilize various data science methods, such as machine learning, statistical modeling, and causal inference, to gain insights, optimize, and generate measurable business value.
• Become familiar with the company’s processes, products, governance and organization.
• Challenges include meeting expectations in delivering results, learning to refine solutions to better fit complex situations, making timely decisions, and communicating effectively with the technical project leader, manager, and business partners.

What You Will Have:

• Analytical Thinking: Extensive ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems; Knowledge of techniques and tools that promote effective analysis.
• Data Cleaning, Analysis, and Preparation: Working knowledge in conducting exploratory data analysis to extract meaningful patterns, trends, and insights from complex datasets, including data mining and cleaning initiatives and writing, debugging and implementing queries involving multiple tables or databases.
• Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Experience completing specific tasks and initiatives utilizing machine learning technologies, such as classification, regression, or optimization and specific tools and techniques to process descriptive and inferential statistics.
• Programming Languages: Experience and fluency with data querying languages (SQL), scripting languages (Python), and statistical/mathematical software packages.
• Collaboration & Effective Communication: Experience working closely with cross-functional teams, providing data-driven insights and collaborating on projects to solve business challenges.

Considerations For Top Candidates:

• Bachelor's degree with 5+ years with proven technical data science experience or a Master's degree with 3+ years proven technical data science experience, preferably in statistics, applied mathematics, data science, analytics, engineering, computer science, or a similar field with quantitative coursework
• Proven experience using:
  • Python for data analysis and modeling, including Jupyter Notebooks and common libraries & packages
  • Version control systems such as Git
  • Database technologies such as SQL and NoSQL
  • Processes large quantities of detailed information with high levels of accuracy
• Practical experience with cloud computing and software development for building solutions in cloud environments (AWS, Snowflake, etc.)
• Practical experience developing, deploying, and productionizing predictive and/or prescriptive analytics solutions and machine learning models
• Experience with advanced data analysis and the application of machine learning and statistical techniques, including classification, regression, clustering, collaborative filtering, and hypothesis testing
• Experience developing and implementing natural language processing (NLP) algorithms and models to extract insights from textual data, utilizing advanced text mining techniques
• Strong technical and problem-solving skills with a focus on continual learning in the analytics field, demonstrating initiative to research and apply new methods to exceed customer expectations
• Strong communication skills, with the ability to explain conclusions to technical leaders, managers, and business partners, and to collaborate effectively with team members
• Experience operating in an Agile environment with ownership, initiative and the ability to complete tasks
• Experience with API development to integrate with digital applications and extract and process data efficiently
• Ability to work independently with strong attention to detail and a focus on delivering customer through business partner requirements
• Demonstrated interest in understanding, experimenting with, or applying emerging AI and GenAI techniques to real-world data problems, with a willingness to continuously learn and adapt as the field evolves

Summary Pay Range:

$97,530.00 - $158,480.00

Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.

Benefits:

Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.

• Medical, dental, and vision benefits*

• Paid time off plan (Vacation, Holidays, Volunteer, etc.)*

• 401(k) savings plans*

• Health Savings Account (HSA)*

• Flexible Spending Accounts (FSAs)*

• Health Lifestyle Programs*

• Employee Assistance Program*

• Voluntary Benefits and Employee Discounts*

• Career Development*

• Incentive bonus*

• Disability benefits

• Life Insurance

• Parental leave

• Adoption benefits

• Tuition Reimbursement

* These benefits also apply to part-time employees

Visa Sponsorship is not available for this position.

Posting Dates:

August 13, 2026 - August 23, 2026

Any offer of employment is conditioned upon the successful completion of a drug screen.

Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.