IBM Recruitment for Cognitive Data Scientist. However, Candidates having a Bachelor’s degree and formal training in Programming are eligible.
At IBM, work is more than a job – it’s a calling: To build, design, Code, Consult, Think along with clients and sell. It’s To make markets, Invent, Collaborate. Not just to do something better, but to attempt things you’ve never thought possible.
IBM RECRUITMENT DETAILS:
Organization Name | International Business Machines |
Eligibility Criteria | Bachelor’s degree and formal training in Programming |
Experience | Freshers |
Position | Intern |
Job Location | Multiple Cities |
Salary | 20,000-25,000 |
ESSENTIAL REQUIREMENTS FOR IBM RECRUITMENT:
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++
Also ,Procedural: Python / Perl / C/ Matlab / Octave / Fortran / Pascal.
Special Purpose: R / SAS / SPSS / Matlab / Octave / Rapid Miner / Weka / Mahout / Spark / LISP.
Streaming Data Analytics,Also Structured and Unstructured Analysis
Artificial Intelligence.Also Cognitive Systems
Human-Computer Interaction / Visualization.
So, these skills are mandatory to be eligible
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. Therefore this includes logical thinking, reasoning, hypothesis formulation, evidence based evaluation, quantitative approximation and intuitive cross-validation. Also Solid background of school-level mathematics is an absolute imperative. Hence, Challenge the validity of given procedures and processes with the intent to enhance and improve.
Information Management:
Skills to extract, transform, prepare and manipulate large datasets and unstructured content using standard RDBMS / SQL.
Flexibility:
Willingness to work across technologies and job locations.ALSO, based on business need of the hour.
Role and Responsibilities
Adoption of business analytics in client settings, where both structured and unstructured analytics are important.
In addition , 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.
So, Your responsibilities include application of hands-on analytics expertise and demonstration of thought leadership during consulting engagement that may be part of delivery project.
In Conclusion, Cognitive Data Scientists have experience in Quantitative methods, techniques and programming.
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