Company Name:-
IBM

Job Location:-
Bengaluru, Karnataka

Job Summary:-
Introduction
As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development.

Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options.

Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities
Responsible for building and optimizing our data models to detect security vulnerabilities that can operate on large amount of data in an efficient manner as well as making this capability available as a service.

You will also work with our software developers on integrating this capability with infrastructure automation software towards offering it as an end to end applications protection and recovery service
Required Technical and Professional Expertise
Experience in using statistical computer languages (R, Python, SQL, etc.

) to manipulate data and draw insights from large data sets
Experience in creating and using advanced machine learning algorithms and statistics such as regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, etc.

Strong knowledge of Java or Python and general software development skills (source code management, debugging, testing, deployment, etc.

)
Experience querying databases and using statistical computer languages (R, Python, etc) to manipulate data and draw insights from large data sets.

Experience with open-source ML/DL/math toolkits such as scikit-learn, WEKA, MLlib,, PyTorch, TensorFlow, NumPy, etc.

Experience in visualizing or presenting data for stakeholders using Excel, PowerBI, Tableau etc.

Preferred Technical and Professional Expertise
Experience with big data platforms like Apache Spark, Hadoop, Hive, ElasticSearch, etc.

Experience with data exploration tools such as Tableu, IBM SPSS Modeler, SAS Visual Analytics, etc.

Experience with Natural Language Processing (NLP)
Unders

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