Data Scientist

**Career Area**:
Technology, Digital and Data

**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**

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 **Digital Finance-Disruptive Tec** -**Global Finance Services Division.**

The incumbent would be Performing analytical tasks and initiatives on huge amount of data to support data-driven business decision and development.

The preference for this role is to be based out of **Whitefield Office, Bangalore, India**

**What you will do**
- 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.
- Caterpillar uses quantitative techniques to solve problems. Typical problems include maximizing Operating Profit After Capital Charge through improvements in Inventory Costs, Material Costs, New Product Introduction costs, etc.; determining the principal drivers of health care costs; recommending the optimal supplier for a part; identifying sales, rental, and service opportunities for Caterpillar dealers; and developing simulation/optimization capabilities to model a new facility or product feature. In addition, analytics experts also provide assistance to high-profile enterprise-wide projects such as the Engineered Value Chain.
- 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. This position is 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.
- This position demonstrates thorough knowledge of statistical approaches, data management techniques, and/or related digital technologies, and the ability to handle complex issues. The incumbent demonstrates very good communication and presentation skills, being able to explain conclusions to customers who have limited knowledge and experience with quantitative analytical methods. As an individual contributor on teams, they should also exhibit strong initiative and teamwork skills, and a comprehensive knowledge of Caterpillar Inc., its products and services; its internal systems, processes, and procedures; and the external environment in which it competes.

**What you will have**
- Bachelor’s degree, preferably in engineering, finance, statistics, economics, mathematics, or a similar field with quantitative coursework, and 4-5 years of professional experience utilizing quantitative analysis **OR**Master’s degree and 2-3 years of experience **OR** PhD in one of the associated fields.
- 2-4 years’ experience in manipulating data sets and building statistical models
- Ability to work on increasingly more complex assignments
- Strong problem-solving skills with an emphasis on product development.
- 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.
- Knowledge of principles, technologies and algorithms of machine learning (Supervised/unsupervised, clustering, decision tree learning, artificial neural networks, etc.); ability to develop, implement and deliver related syst