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
As businesses, governments and communities identify the need to be more efficient and digitally enabled, demand on the new and innovative AI and Cognitive related capabilities are exponentially growing. As trusted advisor to the Chief Analytics Officer and various CXOs (Marketing, Risk, Digital), build compelling value proposition for flexible and futuristic AI driven transformation solutions. You will partner with sector teams, global markets team and all IBM brands to sense, originate, qualify opportunities, and pursue the deals to closure.
Key skills: Industry and function specific analytics and AI skills- trade promotions, assortment mix, demand planning, supply chain optimization, worker and distribution analytics
Platform: Essential to have experience with cloud based development and deployment of models across one of AWS, GCP or Azure
Responsibilities:
Originate new Analytics & AI opportunities in partnership with Consumer Goods, Retail and Travel industry clients and work jointly with IBM Brands
Work closely with the deal teams to shape and solution Analytics & AI led programs, continuously engage with key client executives and share IBM solution details, effectively communicate value proposition on analytics led insights and embed AI solution in client processes.
Own end to end delivery of, a) large & complex Analytics & AI led transformation programs, b) small and nimble business insights initiatives to realize quick gains, c) work with IBM and Partners to bring the best tools and delivery methods.
Own the offerings and assets on key components of Analytics & AI value chain
Build key partnerships with top tools and platform
Improvise new and innovative data assets and drive it's adoption to the market.
Be a thought leader on AI, Analytics and Consumer industries
Should have hired and nurtured talent and grow them in market facing specialists and consultants. Should have built a community of practice on analytics or AI.
Required Technical and Professional Expertise
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