Data Scientist

Caterpillar Inc.

Data Scientist applying machine learning, NLP, and advanced analytics to Caterpillar’s equipment service data. Building cloud-based predictive solutions that improve digital service experiences.

Posted 8/13/2026full-timeChicago • Illinois • 🇺🇸 United StatesMid-LevelSenior💰 $97,530 - $158,480 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data science with a strong focus on machine learning, statistical modeling, and natural language processing. Proficient in developing and deploying predictive analytics solutions while effectively communicating insights to stakeholders.

Highest-signal resume keywords

Python ProgrammingMachine LearningNatural Language ProcessingData AnalysisAPI Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CleaningQuantitative AnalyticsStatistical ModelingExploratory Data AnalysisPredictive AnalyticsPrescriptive AnalyticsData MiningCloud ComputingVersion Control (Git)Database Technologies (SQL, NoSQL)

Soft Skills

Strong Communication SkillsProblem-Solving SkillsAttention to DetailInitiativeCollaboration

Tools & Technologies

Jupyter NotebooksAWSSnowflakeAgile Methodology

Industry Keywords

Data ScienceAnalyticsMachine Learning TechniquesText MiningAI and GenAI Techniques

Tech Stack

Tools & technologies

AWSCloudNoSQLPythonSQL

About the role

Key responsibilities & impact

Act as a technical individual contributor on a small multi-person analytics team
Collaborate with Cat Digital and Global Service business teams to maximize value from digital products and services
Perform data cleaning, analysis, quantitative analytics, and modeling
Apply machine learning, statistical modeling, and causal inference to generate insights and measurable business value
Conduct exploratory data analysis, data mining, and data preparation across complex datasets
Develop, deploy, and productionize predictive and prescriptive analytics solutions and machine learning models
Develop and implement natural language processing algorithms and models for textual data
Present methods, results, and conclusions to the analytics team, leadership, technical leaders, managers, and business partners
Develop APIs to integrate with digital applications and extract and process data
Work independently on assigned project tasks while collaborating on larger challenges in an Agile environment

Requirements

What you’ll need

Bachelor's degree with 5+ years of proven technical data science experience OR Master's degree with 3+ years of proven technical data science experience
Degree 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 and packages
Experience with version control systems such as Git
Experience with database technologies such as SQL and NoSQL
Ability to process large quantities of detailed information with high accuracy
Practical experience with cloud computing and software development in cloud environments such as AWS and Snowflake
Practical experience developing, deploying, and productionizing predictive and/or prescriptive analytics solutions and machine learning models
Experience with advanced data analysis and 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 using advanced text mining techniques
Strong technical and problem-solving skills with continual learning and initiative
Strong communication skills and ability to explain conclusions to technical leaders, managers, and business partners
Experience operating in an Agile environment with ownership and initiative
Experience with API development
Ability to work independently with strong attention to detail
Demonstrated interest in experimenting with or applying emerging AI and GenAI techniques
Visa sponsorship is not available for this position
Any offer of employment is conditioned upon successful completion of a drug screen

Benefits

Comp & perks

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
Professional growth opportunities, including leadership programs