Data Scientist: Apprentice
IBM's Tech Re-Entry program develops talented technical professionals who are looking to restart their careers after an absence from the workforce of two years or more. This paid 12 week internship enables participants to work on projects that match their expertise, interests, and abilities and could lead to full-time employment. In the same way an internship offers a guided period of exploration, the IBM Tech Re-entry internship program provides participants with an opportunity to update their skills in a work environment that may have significantly changed since their last experience. Interns will have access to the latest tools and technologies available and work alongside a multi-disciplinary team of engineers and business professionals to hone their expertise and focus on the next generation of software. The program will also provide the opportunity to experience the breadth of IBM resources while developing new relationships. Internship positions are currently available for Data Scientist located in RTP, North Carolina.
Data Scientist is responsible for converting business problems into an analytics solution using their consulting skills, business knowledge to analyze client business issues, formulate hypotheses and test conclusions to determine appropriate solutions methods.
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.
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