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.
The Analyst will be responsible for creating and implementing statistical, data mining, and optimization within IBM’s Global Business Services and its customers. You will lead analytics projects in all sectors where IBM Greece is engaged with its customers. You will work with external clients along with other IBM team members, across business and geographical boundaries, to design and execute projects that are related with Business Analytics. Candidates should have a strong coding and/or analytic skills coupled with strong business acumen and an ability to present complex information to nonacademic audiences.
Qualifications & Skills
- 1 year of experience in the area of Data Science and Business Analytics projects.
- Experience using one or more statistical programs (e.g., R, SPSS)
- Ability to collaborate and work virtually in a globally distributed team
- Excellent English written and presentation skills, with the ability to present complex information to nonacademic audiences
- More than 1 year of experience in Data Mining and in using related Data Mining techniques and Packages (like SPSS, R etc) in the Financial Services Sector