Decision Support Engineering Analyst Job in Mountain View, California US
Decision Support Engineering Analyst - Mountain View
This position is based in Mountain View, CA.
The area: Engineering
Simply put, Google engineers make computers do amazing things. Populated by extraordinarily creative, motivated and talented people, our Engineering team gets excited by developing new applications that really make a difference and are used by millions of people. We're driven by Google's mission to organize the world's information and make it universally accessible and useful. If you seek to tackle such challenges as building a highly scalable computing infrastructure, novel storage systems, innovative user experiences or the next big application that will change the world, then this might be a perfect fit for you.
The role: Decision Support Engineering Analyst
As a Decision Support Engineering Analyst, you will help evaluate and improve Google's ads. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring analytical rigor and statistical methods to the challenges of measuring ads quality, looking into problems such as how to optimize both our ads quality and our revenue and how to build models of end-user behavior.
Responsibilities:
- Research and develop methods for measuring and analyzing ads quality.
- Research new algorithms and methods for optimizing ads quality and revenue.
- 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:
- Bachelor's Degree (In lieu of degree, 4 years relevant work 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 degree or PhD in Statistics or related field.
- 4 years 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.
