Data Scientist II at CATERPILLAR ASIA PTE LTD

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

30 Mar, 26

Salary

0.0

Posted On

30 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Python, Power BI, Data Engineering, Data Visualization, Analytical Thinking, Problem Solving, Collaboration, Communication, Data Quality, Documentation, Reporting, Machine Learning, Statistical Analysis, Automation

Industry

Machinery Manufacturing

Description

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. Job Description: The Strategic Procurement & Planning Division (SPPD) is hiring a Data Scientist to build the analytical tools, reporting systems, and data‑driven insights that enable Machine Sales & Operations Planning across Caterpillar and its global dealer network. This role will play a critical part in advancing fact‑based decision‑making across the enterprise. In this position, you will design and refine analytical models, build scalable and intuitive reporting solutions, and transform complex data into actionable insights that enhance our end‑to‑end planning processes. You will collaborate closely with business process owners, product groups, dealers, and cross‑functional teams to ensure our data products are accurate, trusted, and aligned with enterprise priorities. Your work will directly support inventory optimization, demand planning, and order management, while strengthening operational performance across the value chain. What You Will Do: Collaborate with business stakeholders to understand informational needs, gather requirements, and translate them into analytical solutions that support strategic and operational decision‑making. Analyze large and complex datasets to identify trends, generate insights, and support Machine Sales & Operations Planning activities. Develop scalable data pipelines and automated reporting solutions to efficiently collect, clean, transform, and prepare high‑volume data for analysis. Apply data quality best practices to ensure accuracy, consistency, and reliability of datasets and analytical outputs. Maintain clear documentation and reproducible code to minimize technical debt and support long‑term sustainability of analytical products. Build end‑to‑end automated reporting and analytics workflows that improve efficiency and reduce manual effort across the organization. Ensure high‑quality deliverables by developing test cases, validating results, and confirming robustness across data scenarios. Communicate analytical findings, insights, and recommendations clearly and effectively to senior leaders and key stakeholders, tailoring messages to both technical and non‑technical audiences. What You Will Have: Bachelor’s degree in engineering, statistics, data science, or a related field with 4–5 years of professional experience; or a Master’s degree with 2–3 years of experience; or a PhD in a relevant discipline. Proficiency with industry‑standard data engineering, analytics, and visualization tools—including Snowflake, SQL, Python, Power BI, and Power Automate—is required. Top candidates will also have: Experience driving innovation by embedding analytics and AI into digital product workflows, enhancing automation, decision‑making, and user experience Strong analytical and problem‑solving skills, with the ability to interpret complex datasets and identify actionable insights Ability to build clear, intuitive dashboards and visualizations that effectively communicate insights Strong communication skills, with the ability to translate technical findings into business‑focused recommendations Experience collaborating with cross‑functional teams and influencing decisions through data‑driven insights Solid understanding of data quality principles, data governance, and best practices for maintaining reliable datasets Ability to manage multiple priorities, work independently, and deliver high‑quality results in a fast‑paced environment Commitment to producing reproducible, well‑documented, and maintainable analytical work Curiosity, a continuous‑learning mindset, and a passion for solving complex business problems through data Skill Descriptors 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. Relocation is available for this position. Posting Dates: December 30, 2025 - January 8, 2026 Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply Not ready to apply? Join our Talent Community. There’s more to work at Caterpillar than just the work itself. We hire smart, friendly people and it shows in our culture. We hold ourselves to high standards and make sure our values of integrity, excellence, teamwork, commitment and sustainability come to life in the way we work. We make sure our employees feel continuously challenged while also supported. We provide professional growth opportunities, including leadership programs. We celebrate the diversity of our team, while also working together as one Caterpillar. Our culture, like everything at our company, is made possible by each employee’s contribution. Person by person, we create the environment we work in, and we are proud of the Caterpillar we’ve built.

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Responsibilities

The Data Scientist II will build analytical tools and reporting systems to support Machine Sales & Operations Planning. This role involves collaborating with stakeholders to translate requirements into analytical solutions and developing scalable data pipelines.