Data Scientist-Engine Data Analytics

Job Title: Data Scientist-Engine Data Analytics Company: Caterpillar Inc. Job Category: Data Science Roles & Responsibilities: 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. Responsibilities * 3 – 7 Yrs. of work experience in data analytics (Engine\-Data Analytics). * Must have hands on exposure in Python, Tableau, SQL and Oracle DB * Exposure in Automotive / Manufacturing industry * Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models. * Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques. * Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies. * Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. Level Working Knowledge: * Accurately gauges the impact and cost of errors, omissions, and oversights. * Utilizes specific approaches and tools for checking and cross\-checking outputs. * Processes limited amounts of detailed information with good accuracy. * Learns from mistakes and applies lessons learned. * Develops and uses checklists to ensure that information goes out error\-free. Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Level Basic Understanding: * Explains the definition and objectives of machine learning. * Describes the algorithms and logic of machine learning. * Distinguishes between machine learning and deep learning. * Gives several examples on the implementation of machine learning. Level Basic Understanding: * Describes the basic concepts of programming and program construction activities. * Uses programming documentation including program specifications in order to maintain standards. * Describes the capabilities of major programming languages. * Identifies locally relevant programming tools. Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use. This Job Description is intended as a general guide to the job duties for this position and is intended for the purpose of establishing the specific salary grade. It is not designed to contain or be interpreted as an exhaustive summary of all responsibilities, duties and effort required of employees assigned to this job. At the discretion of management, this description may be changed at any time to address the evolving needs of the organization. It is expressly not intended to be a comprehensive list of “essential job functions” as that term is defined by the Americans with Disabilities Act. Work Location: Bengaluru East, Karnataka, India Availability: Full time

Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non\-functionality requirements to ensure the success of a system or software development project. Key Skills: Python, SQL, Statistics, Data Visualization, Machine Learning, Tableau Salary: Not disclosed