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Caterpillar

Data Scientist-Engine Data Analytics

Visa sponsorship
On-site • Bangalore, India • Middle • Не указана
Зарплата
Не указана
Опубликовано
12 мин назад
Описание

Career Area:

Technology, 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.

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.

Skill Descriptors:

Business Statistics: 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.

Level Working Knowledge:

  • Explains the basic decision process associated with specific statistics.
  • Works with basic statistical functions on a spreadsheet or a calculator.
  • Explains reasons for common statistical errors, misinterpretations, and misrepresentations.
  • Describes characteristics of sample size, normal distributions, and standard deviat...

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