Data Scientist

3 weeks ago

Bengaluru, India ABB Full time

**Data Scientist**:
**Take your next career step at ABB with a global team that is energizing the transformation of society and industry to achieve a more productive, sustainable future. At ABB, we have the clear goal of driving diversity and inclusion across all dimensions: gender, LGBTQ+, abilities, ethnicity and generations. Together, we are embarking on a journey where each and every one of us, individually and collectively, welcomes and celebrates individual differences.**:
You will be working as a Data Scientist and will be part of Motion Business Area in Bangalore, India. In this role you will be reporting to Data Analytics & BI Manager and you will be part of Global Advanced Analytics team, being responsible for providing data insights and analytics to the business.

**Your 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
- 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

**Your background**:

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

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