Data Scientist

Short Description

Google is hiring Data Scientist having good hands on experience in building and prototype analysis pipelines iteratively to provide insights at scale. Also work with large and complex data sets.

Job Description

Responsibilities:
  • Work with large, complex 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.
  • Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities, 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.

Educational Qualification:
  • PhD degree in a quantitative discipline (e.g. statistics, bioinformatics, computational biology, computer science, applied mathematics, or similar) or equivalent practical experience.
  • Relevant internship or work experience with data analysis.
  • Experience with statistical software (R, S-Plus, SAS, or similar).
  • Experience with databases and scripting languages (such as Python).

Preferred Qualification:
  • Authorization to legally work in the United States.
  • 1 year of relevant work experience (i.e., data scientist role), including deep expertise and experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
  • Ability to draw conclusions from data and recommend actions.
  • Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques.

Data Scientist
Mid-Senior-level Technology | Information | Information Technology Full-time Other Data Science | Data Engineer | Data Scientist | Big Data
Google is an American multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University, in California.

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.