Data Scientist Career path
ASSIGNMENT 2 – RESEARCH ON SUCCESS/FAILURE IN IM
Ha Nguyen
Data Scientist – The New Profession in 21st Century
Ha Nguyen
School of Information Studies, Syracuse University
1
ASSIGNMENT 2 – RESEARCH ON SUCCESS/FAILURE IN IM
Ha Nguyen
The profile that I am really interested in and aspire to have is Jonathan Goldman’s profile. His career track is a typical example of a new profession in organization in twenty-one century, data scientist. Having a background in physics, with a doctorate from Stanford, Jonathan joined LinkedIn in 2006 as an analytics scientist. His responsibilities were developing core data sets from company’s user data, building computational back-end engine for data mining and analysis with distributed data warehouse (Goldman, 2014). His works were used for LinkedIn’s website and its search engine optimization to improve user experience. His famous work were
LinkedIn 's feature “People You May Know”, which allows users to connect with people who may have same networks with them. He developed an algorithm to predict one’s network based on the information that the user entered in his LinkedIn profile. The feature attracted millionpage views and helped LinkedIn’s network grow significantly (T. H. Davenport & Patil, 2012).
His following positions also focused on data analytics. As a director of Analytics and
Applications at Aster data, he led a team to develop analytical applications using Aster Data’s high-performance analytic database systems to enable companies to gain insight from their data.
Being a founder of Level Up Analytics, a big data consulting firm (was later acquired by Intuit in
2013), he provided applied data analysis, strategic consulting services, and full development of data-driven products. Now, as a director of data science and analytics at Intuit, he continues to build the next-generation, data-driven products for the company (Goldman, 2014).
The strongest reason for choosing his career track is that I have a deep interest in
Ha Nguyen
Data Scientist – The New Profession in 21st Century
Ha Nguyen
School of Information Studies, Syracuse University
1
ASSIGNMENT 2 – RESEARCH ON SUCCESS/FAILURE IN IM
Ha Nguyen
The profile that I am really interested in and aspire to have is Jonathan Goldman’s profile. His career track is a typical example of a new profession in organization in twenty-one century, data scientist. Having a background in physics, with a doctorate from Stanford, Jonathan joined LinkedIn in 2006 as an analytics scientist. His responsibilities were developing core data sets from company’s user data, building computational back-end engine for data mining and analysis with distributed data warehouse (Goldman, 2014). His works were used for LinkedIn’s website and its search engine optimization to improve user experience. His famous work were
LinkedIn 's feature “People You May Know”, which allows users to connect with people who may have same networks with them. He developed an algorithm to predict one’s network based on the information that the user entered in his LinkedIn profile. The feature attracted millionpage views and helped LinkedIn’s network grow significantly (T. H. Davenport & Patil, 2012).
His following positions also focused on data analytics. As a director of Analytics and
Applications at Aster data, he led a team to develop analytical applications using Aster Data’s high-performance analytic database systems to enable companies to gain insight from their data.
Being a founder of Level Up Analytics, a big data consulting firm (was later acquired by Intuit in
2013), he provided applied data analysis, strategic consulting services, and full development of data-driven products. Now, as a director of data science and analytics at Intuit, he continues to build the next-generation, data-driven products for the company (Goldman, 2014).
The strongest reason for choosing his career track is that I have a deep interest in
References: Davenport, T. H., & Patil, D. (2012). Data scientist. Harvard Business Review, 90, 70-76. Davenport, T. (2014). What makes big data projects succeed, from http://blogs.hbr.org/2014/03/what-makes-big-data-projects-succeed/ Goldman, J. (2014). LinkedIn profile, from https://www.linkedin.com/in/jgoldman IBM. (2012). Analytics: The real-world use of big data. IBM Institute for Business Value. Kobielus, J. (2013). Data scientists: Master the basics, avoid the most common mistakes, from http://www.ibmbigdatahub.com/blog/data-scientist-master-basics-avoid-most-commonmistakes McAfee, A., Brynjolfsson, E., Davenport, T. H., Patil, D., & Barton, D. (2012). The management revolution Piccoli, G. (2007). Information systems for managers: Texts and cases. Wiley Publishing. Pramanick, S. (2013). 10 big data implementation best practices, from http://www.ibmbigdatahub.com/blog/10-big-data-implementation-best-practices Woods, D. (2012). IBM 's Anjul Bhambhri on what is a data scientist, from http://www.forbes.com/sites/danwoods/2012/02/16/ibms-anjul-bhambhri-on-what-is-a-datascientist/