ABB India Limited Job Vacancy For Bachelor Degree In Applied Statistics/ Mathematics/ Engineering/ Operation Research - Freshers/ Experienced
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.
Company Website: www.abb.com Positions: Data Scientist
Job Location: Banglore Salary: Best in Industry Experience: 0 – 3 Years
Eligibility Criteria : Your Bachelor’s/Master’s degree in Applied Statistics/ Mathematics, , Engineering, Operations Research or related field with, preferably from the top schools.
Job Description: This is a Data Scientist role in Global Business Function based in Bangalore, India. You will be primarily responsible for providing data insights and analytics to the business.
Responsibilities: Work with business managers to frame a problem, both mathematically and within the business context. Understand business data and how to use it appropriately in data analysis and Perform exploratory data analysis to gain a deeper understanding of the problem. Construct and fit statistical, machine learning, or optimization models and Apply and develop appropriate advanced statistical, machine learning, and/or deep learning models and algorithms to classify structured or unstructured data. Collaborate with internal stakeholders to understand business challenges and develop analytical solutions to optimize business processes. Test performance of machine learning and deep learning models and Perform analysis using industry leading text mining, data mining, and analytical tools and open source software.
background: 0-3 years of work experience in Advanced Analytics. 1+ years of experience with advanced statistical modeling and machine learning and Highly proficient with analytical/predictive modeling software. (Python/R/SAS or similar) Strong understanding and experience with predictive / analytical modeling techniques, theories, principles, and practices. Experience with data preparation, rationalization, and processing on big data and Experience in Natural Language Processing (NLP) and Natural Language Understanding (NLU). Big data technology experience (Spark, Hadoop, Hive SQL). Experience with Hadoop and Hive tables and Experience with dealing with both structured and unstructured data.
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