Short DescriptionGoogle is hiring for Data Scientist Technical Lead who will be responsible to build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both products development and sales activity.
- Work with large, complex YouTube data sets; solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations.
- Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both products development and sales activity.
- Directly manage a data science team. Interact cross-functionally with a wide variety of people and teams; work closely with engineers to identify opportunities for, design, and assess improvements to google products.
- Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
- Research and develop analysis, forecasting and optimization methods to improve the quality of Google's user facing products; example application areas include ads quality, search quality, end-user behavioral modeling, and live experiments.
- MS 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.
- 10 years of relevant work experience in data analysis or related field (e.g., as a statistician / data scientist / computational biologist / bioinformatician).
- 5 years of people management / leadership experience
- Experience with statistical software (e.g., R, Python, MATLAB, pandas) and database languages (e.g., SQL).
- PhD degree in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering).
- 12 years of directly relevant, tech industry work experience (e.g., as a statistician / bioinformatician / data scientist), including deep expertise and experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods. Analytical engagements outside class work while at school can be included.
- 8 years of demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques, including people management.
- Applied experience with machine learning on large datasets.
- Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. Experience translating analysis results into business recommendations.
- Demonstrated skills in selecting the right statistical tools given a data analysis problem. Demonstrated effective written and verbal communication skills.
Data Scientist Technical Lead
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.