Short DescriptionGoogle is seeking a candidate for a data scientist engineering position who have applied experience with machine learning on large datasets.
- Masters degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent practical experience.
- 2 years of work experience in data analysis related field.
- Experience with statistical software (e.g., R, Python, MATLAB, pandas) and database languages (e.g., SQL)
- Ph.D. degree in a quantitative discipline.
- 4 years of relevant work experience, including expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
- Applied experience with machine learning on large datasets.
- Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.
- Demonstrated leadership and self-direction. Willingness to teach others and learn new techniques.
- Demonstrated skills in selecting the right statistical tools given a data analysis problem. Effective written and verbal communication skills.
Data Scientist, Engineering
It offers services designed for work and productivity (Google Docs, Sheets and Slides), email (Gmail/Inbox), scheduling and time management (Google Calendar), cloud storage (Google Drive), social networking (Google+), instant messaging and video chat (Google Allo/Duo), language translation (Google Translate), mapping and turn-by-turn navigation (Google Maps/Waze), video sharing (YouTube), notetaking (Google Keep), and photo organizing and editing (Google Photos). The company leads the development of the Android mobile operating system, the Google Chrome web browser, and Chrome OS, a lightweight operating system based on the Chrome browser. Google has moved increasingly into hardware; from 2010 to 2015, it partnered with major electronics manufacturers in the production of its Nexus devices, and in October 2016, it released multiple hardware products (including the Google Pixel smartphone, Home smart speaker, Wifi mesh wireless router, and Daydream View virtual reality headset). The new hardware chief, Rick Osterloh, stated: "a lot of the innovation that we want to do now ends up requiring controlling the end-to-end user experience". Google has also experimented with becoming an Internet carrier. In February 2010, it announced Google Fiber, a fiber-optic infrastructure that was installed in Kansas City; in April 2015, it launched Project Fi in the United States, combining Wi-Fi and cellular networks from different providers; and in 2016, it announced the Google Station initiative to make public Wi-Fi around the world, with initial deployment in India.