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.
Role Definition
As a Data Scientist, you will have the opportunity to work both independently and with a cooperative team on complex projects that may span multiple infrastructure components or applications. You will develop your professional network and leadership skills, assisting in the creation and support of IT Solutions that enable Caterpillar success. Further, you will contribute real value by developing, integrating, and/or supporting in-house and purchased applications or infrastructure solutions to solve business problems. You will define the relationships, flows and implementation of business (processes/activities/functions, information), applications, data and technology in the enterprise and the transitional process necessary for implementing technology in response to changing business needs.
Job Duties/Responsibilities may include but are not limited to:
1. Analyze the data to discover patterns & trends
2. Perform Descriptive, Predictive & Prescriptive Data analytics
3. Collaborate with Data Engineers, Functional and Business Teams
4. Monitor and Support Production Models. Communicate to business partner issue impact and resolution. Handle business partner inquiries, coordinating the resolution with the various support groups
Required Qualifications:
1. Overall, 4-6 years’ experience with a minimum of 3 years’ experience in Data Science
2. Should have expertise in Data Analysis, Data Visualization, Statistical Modelling, Machine Learning and Deep Learning, Agentic Framework
3. Must have proficiency in Python and SQL
4. Working experience in LLMs and Agentic Framework
5. Sound knowledge in Business Intelligence, Big Data & Cloud database concepts like AWS/Azure Databricks
6. Have strong focus on continuous learning. Certifications in the related tools & technologies will be added advantage
7. Relevant master’s or bachelor’s degree
8. Excellent communication (written and oral) and interpersonal skills
9. Candidate should be flexible to work in rotational shifts including night shifts
10. Client/Business partner facing skills, ability to run workshops and articulate the business needs
Required Skills:
3+ years of production experience working in Data Science, Machine Learning within supply chain or other high data volume domains
Experience / knowledge with large language models (LLMs) and AI agents (e.g., Lang Chain).
Proficiency in developing applications with at least one compiled language – Streamlit
Solid production experience using Python (including Various Libraries), PySpark and SQL and expert level production experience with Apache Spark, MLLib
Experience using Azure/AWS to build end to end distributed technical solutions and as well as general cloud native applications.
Knowledge of NLP techniques such as text classification, summarization, and embeddings.
Exposure to MLOps practices and tools (e.g., MLflow, Docker, Kubernetes).
Strong fundamentals in problem solving, algorithm design and complexity analysis. Hands-on experience with web APIs.
Experience with data wrangling, feature engineering, and model evaluation techniques.
Familiarity with DSML platform (Dataiku / Databricks), version control systems (Git) and cloud platforms (Azure).
Knowledge of NLP techniques such as text classification, summarization, and embeddings.
Exposure to MLOps practices and tools (e.g., MLflow, Docker, Kubernetes).
Experience with data visualization tools (e.g., Plotly, Dash, Power BI).
Experience with cloud-native architecture and container orchestration (particularly Docker and Kubernetes) preferred.
Experience utilizing Git, Azure DevOps, MLflow CI/CD, and MLOps frameworks for best practice code management and collaboration.
Experience with Searching Technology like Elastic Search and something similar is a plus
Dashboarding and data visualization tools is a plus. Familiarity with streaming frameworks as well as relational and streaming analytics frameworks is a plus.
Broad knowledge of relational and non-relational databases, caching technologies, serialization formats, and their use in designing and optimizing ML systems is required.
Skill Descriptors
Programming Languages: Knowledge of basic concepts and capabilities of SQL/SAS/Python programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
Level Basic Understanding:
• Describes the basic concepts of programming and program construction activities.
• Uses programming documentation including program specifications in order to maintain standards.
• Describes the capabilities of major programming languages.
• Identifies locally relevant programming tools.
Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
Level Basic Understanding:
• Identifies query facilities that are available in one's own environment.
• Explains organization's standards, procedures and practices for building queries.
• Describes the functions and features of query and database access tools.
• Identifies the key benefits and drawbacks of query languages.
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 Basic Understanding:
• Identifies and describes basic statistical measures.
• Summarizes the underlying uncertainties associated with statistical analysis and reporting.
Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
Level Working Knowledge:
• Accurately gauges the impact and cost of errors, omissions, and oversights.
• Utilizes specific approaches and tools for checking and cross-checking outputs.
• Processes limited amounts of detailed information with good accuracy.
• Learns from mistakes and applies lessons learned.
• Develops and uses checklists to ensure that information goes out error-free.
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 Basic Understanding:
• Names specific tools or techniques that can be used to support the analytical thinking process.
• Describes specific software applications or products used for business analytics.
• Gives examples of how analytical thinking has been used to resolve problems.
This Job Description is intended as a general guide to the job duties for this position and is intended for the purpose of establishing the specific salary grade. It is not designed to contain or be interpreted as an exhaustive summary of all responsibilities, duties and effort required of employees assigned to this job. At the discretion of management, this description may be changed at any time to address the evolving needs of the organization. It is expressly not intended to be a comprehensive list of “essential job functions” as that term is defined by the Americans with Disabilities Act.
Additional Info:
This position will require travelling about 10% of the time.
Caterpillar is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status; however, as a global company, Caterpillar offers many job opportunities outside of India which can be found through our employment website at www.caterpillar.com/careers.
What You Will Get:
Our goal at Caterpillar is for you to have a rewarding career. Our teams are critical to the success of our customers who build a better world. Here you earn more than just wage, because we value your performance, we offer a total rewards package that provides day one benefits along with the potential of a variable bonus. Additional benefits include paid annual leave, flexi leave, medical and insurance (prorated based upon hire date).
Final Details:
Please frequently check the email associated with your application, including the junk/spam folder, as this is the primary correspondence method. If you wish to know the status of your application – please use the candidate log-in on our career website as it will reflect any updates to your status.
If you are interested in joining our team, please apply using an English version of your CV. We look forward to meeting you!
About Caterpillar
Caterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we’ve been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed
Posting Dates:
February 18, 2026 - March 3, 2026
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
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