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
Adoption of business analytics in client settings, where both structured and unstructured analytics are important.

You are expected to have a combination of hands-on analytics expertise, client-facing consulting experience, and acumen for solving business problems using quantitative methods.

Your responsibilities include application of hands-on analytics expertise and demonstration of thought leadership during consulting engagement that may be part of delivery project.

Cognitive Data Scientists have experience in Quantitative methods, techniques and programming.

Required Technical and Professional Expertise
Formal training in or experiential learning of statistical methods and techniques
Excellent Programming Skills in one of the two languages from following groups:
Object-Oriented: Java / C++
Procedural: Python / Perl / C/ Matlab / Octave / Fortran / Pascal
Special Purpose: R / SAS / SPSS / Matlab / Octave / Rapid Miner / Weka / Mahout / Spark / LISP
Streaming Data Analytics, Structured and Unstructured Analysis
Artificial Intelligence and Cognitive Systems
Human Computer Interaction / Visualization
Preferred Technical and Professional Expertise
Communication/Negotiation:
The role requires strong inter-personal, conflict resolution and collaboration skills.

In addition, the candidate must demonstrate excellent communication skills for effective leadership level interaction
Quantitative:
Skills to analyze data, and interpret analysis results in business terms.

This includes logical thinking, reasoning, hypothesis formulation, evidence based evaluation, quantitative approximation and intuitive cross-validation.

Solid background of school-level mathematics is an absolute imperative.

Challenge the validity of given procedu

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