BigData Technical Consultant /Architect

Introduction
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You’ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role you’ll be encouraged to challenge the norm investigate ideas outside of your role and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

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.

JPJOBS24

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 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.