Data Scientist Job In Abb In Bangalore

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Job Details

Job Description: 

This is a Data Scientist role, reporting to the Head of Data Analytics in the Global Business Services which is in Bangalore, India You as Data Scientist will be part of Global Advanced Analytics team and will be responsible for providing data insights and analytics to the business

Responsibilities:

  • Working with business managers to frame a problem, both mathematically and within the business context
  • Understanding business data and how to use it appropriately in data analysis
  • Performing exploratory data analysis to gain a deeper understanding of the problem.

  • Constructing and fitting statistical, machine learning, or optimization models
  • Applying and developing appropriate advanced statistical, machine learning, and/or deep learning models and algorithms to classify structured or unstructured data
  • Collaborating with internal stakeholders to understand business challenges and developing analytical solutions to optimize business processes
  • Testing performance of machine learning and deep learning models
  • Performing analysis using industry leading text mining, data mining, and analytical tools and open source software.

Candidate Profile
Bachelor’s/Master’s degree in Applied Statistics/Mathematics, Engineering, Operations Research or related field preferably from the top schools such IITs, NIT, DU, DSE, etc.
0 – 3 years of work experience in Advanced Analytics 1+ years of experience with advanced statistical modeling and machine learning.

Abb is looking for B.E. / B.Tech profile candidates.

Short Job Information


Job Title : Data Scientist
Company Name : Abb
Job Location : Bangalore
Education : B.E. / B.Tech
Category : Computers / IT
Experience : Freshers
Post Date : 13 August, 2021
Last Date : 27 September, 2021
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How to Apply for Data Scientist
Interested and eligible candidates can apply online by following link.

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About Abb
ABB (www.abb.com) is a leader in power and automation technologies that enable utility, industry, and transport and infrastructure customers to improve their performance while lowering environmental impact.
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