Data Scientist/Quantitative Analyst

Google
Mountain View / San Bruno - United States
S: Competitive

At YouTube, data drives the way we make decisions. We love our users, advertisers and content creators, and understanding them better is at the heart of what the YouTube data organization is all about. Using one of the world's richest datasets, along with Google's cutting-edge technology, we're able to transform insights into real-world products. We create the tools and infrastructure to deliver a delightful experience and the best possible YouTube.

As a Data Scientist, you should be experienced with and passionate about using data to drive strategy and product recommendations. You are able to both engage with senior leaders to design well-constructed analyses and work cross-functionally with analysts, product managers and engineers to effectively deliver actionable results. You are a well-rounded top performer who is able to "crunch the numbers" one minute and critically think through strategic issues the next. You are a self-starter with a high degree of rigor, organization, and discipline to get things done. You are able to communicate as effectively in delivering complex data-driven findings with product managers as you are in discussing logging and machine-learning specifications with engineers. The ideal candidate is an independent, solution-oriented thinker with a strong background processing huge data sets, applying analytical rigor and statistical methods, and driving toward insights and solutions.

Responsibilities
Research and develop methods for measuring and analyzing ads quality.
Research new algorithms and methods for optimizing ads quality and returns.
Research new ways for modeling end-user behavior.
Lead investigations into multiple streams of ads quality data.
Design experiments to answer targeted questions.
Minimum qualifications
BA/BS degree or equivalent practical experience.
2 years relevant work experience including statistical software (R, S-Plus, SAS, or similar), databases and scripting languages (such as Python).

Preferred qualifications
MS or PhD in Statistics or related (e.g.Mathematics, Physics, Ops Research).
4 years of relevant work experience.
Substantial real-world experience, especially in areas such as data.
Ability to draw conclusions from data and recommend actions.
Demonstrated willingness to both teach others and learn new techniques.
Demonstrated leadership and self-direction.

Job summary