eTeam · 22 hours ago
Information Technology - Data Scientist 1
Caterpillar is seeking a talented and motivated Data Scientist to join their Machine Data Insights team within Machine Analytics. This role focuses on developing analyses to support product development and strategic analytics, utilizing advanced statistical modeling and machine learning techniques.
Information Technology
Responsibilities
The Data Scientist I will participate on cross-functional project teams in order to solve a problem presented by a Caterpillar Business Unit or Service Organization, a Caterpillar Dealer, or a Caterpillar Customer
The key role of this second level data scientist position is to move from learning and assisting others to learning to contribute independently
The Data Scientist I is expected to become familiar with the company’s processes, products, and organization
Work is typically directed by a project or team lead who might review both methods and results
Challenges include meeting expectations in delivering results, learning to consider alternative courses of actions, making timely decisions, developing communication skills, working with people, and pushing the technical bounds of experimentation while meeting customer commitments
Individuals in this position might expect to have several assignments allowing them to gain experience on multiple projects
They will be expected to apply theory and concept in contributing to the solution in the assigned area
The job function may include data collection and analysis; development, validation, application, and refinement of statistical models; application of related digital technologies in processing both the inputs and outputs from the models
The Data Scientist I demonstrates an expanded breadth of knowledge and the ability to handle basic issues independently
They also demonstrate very good communication skills; planning and organization, teamwork, and decision making skills; a strong concern for customers; a strong focus on continual learning in the Analytics field; and has basic knowledge of Caterpillar Inc., and its products and services
Qualification
Required
Typically requires a Bachelor's degree, preferably in engineering, computer science, statistics, economics, mathematics, or a similar field with quantitative coursework, and 1-2 years of professional experience utilizing quantitative analysis is required, or a Master's or PhD degree
Must be comfortable working in industry standard statistics, analytics, and data visualization packages
Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively
Preferred
Bachelors, Masters, or PhD degree in Applied Statistics, Data Science, Business Analytics, Business Intelligence & Analytics, Computer Science, Computer Science X, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), Informatics, Information Systems Management, Mathematics, MBA with Technical Undergrad, Predictive Analytics, Statistics, or equivalent technical degree
Experience with advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc
Practical applications of machine learning techniques such as Clustering, Logistic Regression, CART, Random Forests, SVM or Neural Networks
Experience in design / development of heavy equipment (ex. automotive, aerospace, engine, transmission, construction, mining, industrial, etc)
Strong technical and problem-solving skills and evidence of continuous learning in the analytics field
2 years of experience applying python (NumPy, SciPy, pandas, etc) programming to solve business challenges
Experience with cloud technologies (AWS, Azure, Google Cloud, etc)
Strong initiative to research and apply new methods and digital technologies to exceed customer expectations
Good communication, interpersonal, and collaboration skills0-2 years experience
Company
eTeam
eTeam is a staffing agency that also provides payrolling services.
H1B Sponsorship
eTeam has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (36)
2024 (205)
2023 (11)
2022 (7)
2021 (24)
2020 (25)
Funding
Current Stage
Late StageTotal Funding
unknown2023-12-04Acquired
Recent News
2025-11-19
2025-08-21
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