Principal Scientist at LinkedIn
San Francisco Bay Area
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Jonathan Goldman’s Summary
I'm working in predictive modeling and analytics at LinkedIn. The end-use of my work is to improve the user experience and help the business make informed strategic decisions.
Jonathan Goldman’s Specialties:
Quantitative analysis, predictive models, SQL, python
From PhD work: Matlab, C++, optics, RF engineering, semiconductor processing
Jonathan Goldman’s Experience
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Principal Scientist
LinkedIn
(Privately Held; 201-500 employees; Internet industry)
June 2008 — Present (6 months)
Leading a team of analytics researchers to build cutting edge products with the rich data sets LinkedIn has amassed. Primary focus is on data mining and product analytics. Our focus is on driving growth and user engagement. Our model is to build, ship, and iterate; we use our time effectively to deliver value to the company. We strive to build features that surprise and delight our users.
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Analytics Scientist
LinkedIn
(Privately Held; 11-50 employees; Internet industry)
June 2006 — May 2008 (2 years)
* Created People You May Know product on LinkedIn which has reactivated many users and improved overall network health
* Developed and supported computationally intensive and targeted content throughout the site including Who Viewed My Profile, similar jobs, similar members among others
* Improved LinkedIn's website for SEO which significantly increased site traffic and has led to millions of additional users for LinkedIn
* Developed core data sets from our user data such as the company directory on which is built many of LinkedIn's new features (e.g. company groups, company profiles)
* Led effort to build a more powerful computational back-end engine for doing data mining and analysis with a distributed data warehouse -
Business Analyst
Accenture
(Public Company; 10,001 or more employees; ACN; Management Consulting industry)
August 2005 — June 2006 (11 months)
Joined the strategy practice sector as a business analyst in the resources (energy/utility) group. Worked on a business transformation project for an electric and gas utility. Developed a strategic vision for the North American natural gas industry.
Jonathan Goldman’s Education
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Stanford University
PhD, Physics, 1998 — 2005
PhD Thesis:
Developed silicon based quantum computer proposal using silicon(29) nuclear isotope. Performed high resolution spectroscopy of semiconductor quantum dots and used spin-polarized electrons to achieve non-thermal nuclear polarization within the quantum dot.
Other Experiences:
Won the Stanford University social entreprenuership competition for a technology used to clean emissions from burning coal.- Activities and Societies:
- Squash Team
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Massachusetts Institute of Technology
B. S., Physics, 1994 — 1998
Bicycled across North America as part of a project for the MIT Media Lab (http://www.media.mit.edu/c2c/)
- Activities and Societies:
- Squash Team, Tennis Team
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Sidwell Friends School
HS, 1991 — 1994
Additional Information
Jonathan Goldman’s Interests:
squash, tennis, road cycling, scuba,
