Career Area:

Engineering

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, youre 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 dont 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.

Role Definition

Turning product data into insights to support new product development, continuous product improvement, productivity enhancements, and condition monitoring.

Responsibilities

- Work closely with business stakeholders to understand their goals determine how Data analytics can be used to achieve those goals.
- Should be able to design data modelling processes, create algorithms develop predictive models to help analyze the data
- Develop prediction tools which can help Caterpillar customers to gain efficiency and plan the forecast better
- Develop innovative solutions which enables machine learning and prediction. Also , Work with Cross - functional team to come up with innovative solutions
- Act as a Technical lead in the field of Analytics and Machine Learning.

Degree Requirement

Experience : 6-9 years of experience in developing Analytics tool for Data prediction developing machine learning algorithm

Education : B.Tech/M.Tech or equivalent professional qualification in Statistics, Machine Learning

Required skills :

- Strong knowledge in python, SQL




- Fully skilled in Visualization tools such as Power Bi , Tableau with ability to utilize it as Automation tool
- Should be able to develop Data Analysis Algorithm
- Should have experience in developing prediction formulas for non-linear data.
- Self - starter passionate for Data analysis
- Can make use of statistical tools for data prediction. Regression analysis (Linear/Non-linear)
- Should be able to present the data in a meaningful form
- Passion for Innovation and Technology
- Self-Starter, Should be able to present Ideas to stakeholders

Desired Skill

- Good understanding of Six Sigma tools
- Can develop Matlab models on the deep learning toolbox
- Should be able to translate Data requirement into analytics
- Positive outlook, robust work ethic, willingness to learn and grow
- Excellent communication skills

Skill Descriptors

Domain Knowledge: Knowledge of a specific domain, its current trends, directions, and regulatory considerations; ability to apply domain-specific knowledge to relevant situations.

Level Basic Understanding:

Identifies key concepts and features of the domain.

Describes key products and services associated with the domain.

Identifies major initiatives, key issues and current trends in the domain.





Describes where and how to obtain up-to-date domain-specific information.

Technical Analysis: Knowledge of the concepts, methodologies, and activities in technical analysis; ability to forecast the direction of technical landscape using technical indicators and take collective actions.

Level Basic Understanding:

Lists commonly used technical analysis tools and technologies.

Documents key technical analysis procedures and policies.

Describes basic concepts and major activities associated with technical analysis.

Identifies the sources of information to extract the required data and technical indicators.

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.

Decision Making and Critical Thinking: Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment.

Level Basic Understanding:

Explains ch

📌 Lead Data Scientist (Bengaluru)
🏢 Caterpillar
📍 Bengaluru