Data Scientist

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.
Your Impact Shapes the World at Caterpillar Inc
Whether it be groundbreaking products, best in class solutions or a lifelong career, you can build what matters to you at Caterpillar. With 150 locations in countries around the world, what you create at Caterpillar travels and helps people around the world. You can collaborate with the best minds in the industry, complete meaningful work and continuously grow and develop through our various opportunities. Here, you can do the work that matters.
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.
Job Summary
We are seeking a skilled Data Scientist _ to join our Shared Services COE -Global Financial Services Division
This role will be based out of Bangalore-Whitefield office
Caterpillar uses quantitative methods such as business simulations, data mining, and advanced statistical techniques to solve problems. The Data Scientist contributes to this mission by leveraging his or her quantitative analysis, data management, modeling and/or data visualization skills as an individual contributor to project teams tasked with solving business problems.
What you will do

• The principal responsibility of the Data Scientist is to be an independent contributor to multi-person analytic teams.
• This position has a depth of knowledge in quantitative analytic methods, data management, and or associated digital technologies suitable to handle all but the most complex issues.
• Data Scientist are expected to be familiar with the company's processes, products, and organization, as well as its customers, competitors, and stakeholders.
• Work is typically directed by a direct supervisor, project or team lead through a review of results.
• Decisions on routine, medium risk issues that may affect the project team, suppliers or internal customers may be made by this position.
• Challenges include meeting expectations in delivering results, learning to refine solutions to better fit complex situations, making timely decisions, and communicating effectively with all project stakeholders.
• The Information Scientist III also mentors and develops the capabilities and organizational knowledge of more junior data scientists.

What you will have

• Fields of study include computer science, business, mathematics, economics, statistics, engineering or in a related field
• 4-year degree from an accredited college or university & 4-5 years of business insights and visualization experience
• Master's degree & 2-3 years of business insights and visualization experience
• Or PhD & 1-3 years of business insights and visualization experience
• Experience with Agile framework for project management methodologies and demonstrated strong abilities in data visualization tools such as Power BI.
• Identify and merge data sources to provide a safe source for reporting
• Demonstrated proficiency in SQL and Snowflake to extract, transform, and load (ETL) data.
• Create user-friendly tools to enable data-driven decisions by leadership.
• Experience with cloud
• Experience with solution integration or solution architecture practices, IT operations, & data governance
• Experience with Data mapping, integration, and transformation to a data warehouse
• Coordinate with internal stakeholders to deploy data science models into production and monitor their performance
• Perform data related tasks which could include data analysis, data quality, user access management, and troubleshooting of data issues
• Programming experience in Python, R, or SAS
• Experience in data modelling principles/methods including conceptual, logical, and physical data models.
• Familiarity with DevOps systems, such as GitLab
• Broad experience building different types of advanced analytic solutions, including some of the following: time series analysis, cluster analysis, tree-based algorithms, generalized linear models, or neural networks.
• Train and validate predictive models using a range of Machine Learning algorithms to support targeted customer
• Support the building of tools to automate data collection and model multidimensional datasets
• Ability to clearly communicate vision and complex technical ideas, data science initiatives and insights to all levels of users within the organization

Additional Details:

• Preferred location: Bangalore, India.
• Remote work is not acceptable.
• Travel: 10% travel is expected.
• 5 days' Work from office Mandatory

Skills desired
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 make inferences about the meaning of the data and arrive at conclusions.
Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
Level Working Knowledge:• Completes specific tasks and initiatives utilizing machine learning technologies, such as search engine optimization.• Utilizes specific tools and techniques to process descriptive and inferential statistics.• Applies specific computing languages and tools in machine learning, such as R and Python.• Explores to use machine learning in one own areas to make business improvements.• Conducts data mining and cleaning initiatives.
Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
Level Working Knowledge:• Participates in the implementation and support of specialized programming languages.• Conducts basic reviews on writing a specific programming language within a specific platform.• Assists with the design and development of specialized programming languages.• Follows an organization's standards, policies and guidelines for structured programming specifications.• Diagnoses and reports minor or routine programming language problems.
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 Working Knowledge:• Defines, creates and tests simple queries by using associated command language in a specific environment.• Applies appropriate query tools used to connect to the data warehouse.• Obtains and analyzes query access path information and query results.• Employs tested query statements to retrieve, insert, update and delete information.• Works with advanced features and functions including sorting, filtering and making simple calculations.
Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.
Level Working Knowledge:• Follows policies, practices and standards for determining functional and informational requirements.• Confirms deliverables associated with requirements analysis.• Communicates with customers and users to elicit and gather client requirements.• Participates in the preparation of detailed documentation and requirements.• Utilizes specific organizational methods, tools and techniques for requirements analysis.
What you will get:

• Work Life Harmony
• Earned and medical leave.
• Relocation assistance if appropriate

Holistic Development

• Personal and professional development through Caterpillar 's employee resource groups across the globe
• Career developments opportunities with global prospects

Health and Wellness

• Medical coverage -Medical, life and personal accident coverage
• Employee mental wellness assistance program

Financial Wellness

• Employee investment plan
• Pay for performance -Annual incentive Bonus plan.

Additional Information:
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 the U.S. which can be found through our employment website at www.caterpillar.com/careers
Caterpillar is an Equal Opportunity Employer (EEO)
EEO/AA Employer. All qualified individuals, including minorities, females, veterans and individuals with disabilities - are encouraged to apply.
Posting Dates:
June 5, 2025 - June 18, 2025
Caterpillar is an Equal Opportunity Employer.
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