Caterpillar - Senior Data Scientist

Assists in the design, definition, development, and test of the robotics software development; collaborates with senior engineers to ensure that internal and external clients needs are met.

Responsibilities:

• Independently lead E2E Analytics projects. Act as a product owner and Coach the analysts within the team

• 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.

• Experience : Passionate Product Analytics Engineer with minimum 8+ years of experience in developing Data Analytics solutions, Visualization tools & ML algorithms etc.

• Education : B.Tech/M.Tech (preferably Mechanical) or equivalent professional qualification in Data Science, Statistics, Machine Learning for Engineering Components

Skill Descriptors:

Industry Knowledge :

• Has a good understanding of off-highway products.

• Has worked as a part of product development team or validation teams

• Basics of Engine/Machine performance parameters, Specifications, Data Links.

• Ability to relate Machine problems and come up with analytical solutions

Programming:

- High skilled in Python, SQL, SAS, AI/ML Tools, Neural network development

• Strong knowledge in python, SQL

• Fully skilled in Visualization tools such as Power Bi, Tableau with ability to utilize it as Automation tool

• Should have experience in building algorithms

• 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

Problem Solving: Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply knowledge of problem solving appropriately to diverse situations.

Level Extensive Experience:

• Ensures capture of lessons to be learned from a problem-solving effort.

• Organizes potential problem solvers and leads problem resolution efforts.

• Uses varying problem-solving approaches and techniques as appropriate.

• Contributes to standard practices for problem-solving approaches, tools, and processes.

• Analyzes and synthesizes information and devises alternative resolution strategies.

- Develops successful resolutions to critical or wide-impact problems.