Data Scientist  - Petaling Jaya, SGR

“Data Scientist” is a role for quantitatively adept people with accompanying business skills. A solid foundation typically in statistics, modeling, operations research, computer science and applications, and math. What sets the data scientist apart is strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge. Good data scientists will not just address business problems, they will pick the right problems that have the most value to the organization.A data scientist is effective at deploying an analytics solution, thereby realizing business value.Whereas a traditional data analyst may look only at data from a single source – a CRM system, for example – a data scientist will most likely explore and examine data from multiple disparate sources. The data scientist will extract, transform, and combine all incoming data with the goal of discovering a previously hidden insight, which in turn can provide a competitive advantage or address a pressing business problem. A data scientist does not simply collect and report on data, but also builds statistical models, determines what it means, then recommends ways to apply the data.
Data scientists are inquisitive: exploring, asking questions, doing “what if” analysis, questioning existing assumptions and processes. Armed with data, modeling expertise, and analytical results, a top-tier data scientist will then communicate informed conclusions and recommendations across an organization’s leadership structure.
Help customers understand how they can leverage the data, structured & unstructured, to build new growth areas, to gain competitive edge, enhance efficiencies, improve processes, improve productivity, reduce cost, increase profitability and deliver higher shareholder value
Help customers sift through myriad data, built patterns, correlation, causality.
Work with Sales teams, technical teams, labs, business partners, SIs to build unique approach to big data & analytics for customer organisations
Have the ability to have meaningful conversations from business analyst to CEO of customer organisations. Present their problems in a consumable manner.
Have the ability to convert customer requirements into a format / language understandable by technical teams to build POCs, POTs and to deliver successful projects.
Have the ability to understand IBM’s Analytics offerings and build value propositions by linking them to data driven customer requirements

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.