Sr. Data Scientist
Caterpillar Inc.
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.
Job Description
Your Impact 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.
Job Summary
We are seeking a skilled Senior Data Engineer (Senior Data Scientist) to join our Pricing Analytics – Enterprise Strategy - Global Financial Division Team. you will design and build scalable data platforms, pipelines, and cloud solutions that power global pricing decisions. You will solve complex data challenges, lead technical design, and transform diverse data sources into trusted data products. Working with data scientists, analysts, engineers, and business stakeholders, you will help establish engineering standards and shape the future of data and AI-driven pricing.
The preference for this role is to be based out of Brigade World Trade Center Office, Chennai, India
What You Will Do:
- Build infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
- Perform debugging, troubleshooting, modifications and testing of integration solutions
- Operationalize the developed jobs, processes and models.
- Create databases and infrastructure to process data at scale
- Create solutions and methods to monitor systems and solutions
- Automate code testing and pipelines
- Engage with business partners to participate in design and development of data integration/transformation solutions per functional requirements.
- Engage and actively seek industry perspectives through, continuous learning, peer groups, etc.
- Data Pipeline Development: Ability to design, build, and optimize scalable batch and real-time data pipelines that deliver trusted, high-quality data for analytics, reporting, and AI applications.
- Cloud Data Engineering: Experience with cloud-based data platforms, storage, and processing technologies; ability to develop resilient, scalable, and secure data solutions.
- Data Modeling & Integration: Knowledge of data modeling, transformation, and integration techniques; ability to consolidate diverse data sources into well-governed, consumable data products.
- Data Observability & Quality: Experience implementing data quality frameworks, monitoring, testing, and automated validation to ensure reliable and trusted data assets.
- Collaboration & Business Impact: Ability to partner with cross-functional teams to understand business needs and deliver data solutions that support pricing decisions, analytics, automation, and AI-enabled outcomes.
- Extensive experience in designing and developing software applications in Python.
- Experience with AI assisted software development (ex. Github Copilot, Cursor, Codex, etc)
- Extensive experience working with Git version control
- Extensive experience deploying software using CI/CD tools such as Github Actions, Azure Devops etc.
- Experience with AWS components such as Bedrock, Lambda, Fargate, S3, Sagemaker, IAM and RDS
- Experience with databases such as PostgreSQL, Snowflake, Oracle, etc.
- Demonstrated strong learning ability and a proactive approach to staying current with the latest technologies and industry trends.
- Demonstrated architecture experience
- The position requires the candidate to work a 5-a day -week schedule in the office
- Shift Timing: EMEA Shift :01:00PM -10:00PM IST
- This position requires the candidate to be in Chennai, India
- Relocation assistance is available for this position
- Visa sponsorship is NOT available with this position
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.
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.
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.
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.
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.
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.
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.
- Work Life Harmony
- Earned and medical leave.
- Relocation assistance
- Personal and professional development through Caterpillar ‘s employee resource groups across the globe
- Career developments opportunities with global prospects
- Medical coverage -Medical, life and personal accident coverage
- Employee mental wellness assistance program
- Employee investment plan
- Pay for performance -Annual incentive Bonus plan.
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:
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
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