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**

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 dat