Data Scientist

Career Area:

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

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.
• The responsibilities of the data scientist would involve design, develop, and deploying of predictive models and machine learning algorithms to support business decision-making. Lead data gathering, preprocessing, and transformation efforts from structured and unstructured sources. Collaborate with cross-functional teams to define analytical requirements and deliver insights through dashboards and reports. Develop and maintain scalable data pipelines using tools such as SQL, Snowflake, and Python. Apply Natural Language Processing (NLP), time-series analysis, and anomaly detection techniques to real-world datasets. Contribute to the development of internal Python packages and reusable analytics components

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.

Top Candidate Will Also Have:

• 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 systems, products and services.
• Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets
• Experience working with and creating data architectures
• Excellent written and verbal communication skills for coordinating across teams
• A drive to learn and master new technologies and techniques
• Experience using web services: AWS services, Snowflake, Spark
• Must be comfortable working in MS Office, and industry standard statistics and data visualization Packages – Power BI/Tableau

Additional Information:

• This position requires the selected candidate to work Full -Time in the Whitefield Bangalore, Karnataka office.
• This position requires candidate to work a 5-day -a -week schedule in the office
• Domestic Relocation is available
• Less than 10% travel is expected

Skills desired:

What you will get:

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

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

Posting Dates:

Caterpillar is an Equal Opportunity Employer.

Not ready to apply? Join our Talent Community.