BigData Technical Consultant /Architect

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
This is a service and solution delivery and consulting business that supports the establishment of various measures ranging from business strategy to operations and IT by analyzing data held by the client using analytics technology.
The source of a company’s competitive advantage lies in its ability to extract useful insights from the vast and diverse data generated by the advancement of digitalization and to put them into action. To this end we are developing a consulting service that extracts suggestions for companies from novel perspectives by making full use of cutting-edge analytics technology and puts those suggestions into practice through strategy formulation organizational reform and process reform.

Required Technical and Professional Expertise
• Architect/PM experience in one or more of BI/DWH Data Lake Data Governance.
• Experience in building analytics systems (AI Business Intelligence Mining)
• Programming experience (Python Java C++ etc.).
• Knowledge of Watson’s “understanding” “learning” and “analyzing” capabilities in the following areas (project implementation experience is preferred): machine learning natural language analysis text mining image recognition speech recognition.
• Ability to think logically / lead sessions / communicate / document.

Preferred Technical and Professional Expertise
• Ability to prepare logical presentations and materials / communication skills / facilitation skills / proposal skills.
• Ability to select and utilize various statistical analysis methods machine learning data mining and other mathematical models.
• Understanding and ability to utilize various statistical analysis methods.
• Skill in utilizing statistical software such as SPSS SAS etc.
• Business level English language skills.