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| Job Location | Delhi |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | DBA / Datawarehousing |
| EmploymentType | Full-time |
What you ll do:-Your responsibilities will include:1. Adoption of business analytics in client settings, where both structured and unstructured analytics are important. 2. 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. 3. Your responsibilities include application of hands-on analytics expertise and demonstration of thought leadership during consulting engagement that may be part of delivery project.4.Cognitive Data Scientists have experience in Quantitative methods, techniques and programming.How we will help you grow:-You ll have access to all the technical and management training courses you need to become the expert you want to be.You ll learn directly from expert developers in the field; our team leads love to mentorYou have the opportunity to work in many different areas to figure out what really excites you.Required Technical and Professional Expertise1.Formal training in or experiential learning of statistical methods and techniques.2. Excellent Programming Skills in one of the two below 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 / VisualizationPreferred Technical and Professional Expertise1.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 interaction2.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 procedures and processes with the intent to enhance and improve. 3.Information Management:Skills to extract, transform, prepare and manipulate large datasets and unstructured content using standard RDBMS / SQL 4.Flexibility:Willingness to work across technologies and job locations, based on business need of the hour. ,
Keyskills :
sqlanalytics item response theoryhuman computer interaction business process consultingbusiness analytics advanced analyticsproc