Career Area:

Business Technologies, 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.

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 (Data Engineer) to join our Pricing Analytics Team.

The incumbent would be responsible for for building scalable, high performance infrastructure and data driven predictive analytics applications using automation, artificial intelligence (AI) and machine learning (ML) models to provide actionable recommendations and insights. The position will be part of Caterpillar’s fast-moving Global Parts Pricing team. This position will tackle challenges and problems that are critical to realizing significant business outcomes. Data engineers work with data scientists, business analysts, and others as part of a team that assembles large, complex data sets, automates processes and pipelines, and develops models that provide competitive advantage.

 The preference for this role is to be based out of Bangalore – Whitefield office

 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
• Design, develop, and maintain performant and scalable AI and ML models
• 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. 

What you will have 

• BS in Computer Science, Computer Engineering, Data Engineering, Data Science, or related field.
• Strong development experience with modern development languages and frameworks, preferably Python, PySpark, etc. 
• Understanding of data structures, algorithms, profiling & optimization.
• Understanding of SQL, ETL design, and data modeling techniques 
• Experience with version control and devops practices, like continuous integration and continuous delivery (CI/CD)
• Experience building and deploying machine learning models, using popular libraries like Scikit-learn, TensorFlow, Keras, caret, or similar
• Great verbal and written communication skills to collaborate cross functionally and enhance scalability. 
• Desired Skills: 
• MS in Computer Science, Computer Engineering, Data Science, or related fields.
• Experience with cloud platforms, preferably AWS
• Experience building recommendation engines
• Advanced level of experience in programming, data structures and algorithms.
• Advanced experience in AI, ie. Machine Learning, NLP, Neural Networks in AWS. 
• Working knowledge of Agile Software development methodology. 
• Recognizes opportunities for machine learning and evangelizes them to make business improvements.
• Shift Timing-01:00PM -10:00PM IST(EMEA Shift)

Desired Skills: 

• MS in Computer Science, Computer Engineering, Data Science, or related fields.
• Experience with cloud platforms, preferably AWS
• Experience building recommendation engines
• Advanced level of experience in programming, data structures and algorithms.
• Advanced experience in AI, ie. Machine Learning, NLP, Neural Networks in AWS. 
• Working knowledge of Agile Software development methodology. 
• Recognizes opportunities for machine learning and evangelizes them to make business improvements.

Skills desired:

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.

Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
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.

What you will get:

• Work Life Harmony
• Earned and medical leave.
• Flexible work arrangements
• 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

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:

August 21, 2024 - August 27, 2024

Caterpillar is an Equal Opportunity Employer (EEO).

Not ready to apply? Join our Talent Community.