Statistician/Engineering Analyst At Google

The area: Engineering & Operations

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to tackle some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From AdWords to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

The role: Statistician/Engineering Analyst

At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical rigor and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.

Responsibilities:

• Research, develop, and apply methods for measuring and analyzing Google products.
• Develop new algorithms and methods for optimizing product performance, revenue, and adoption.
• Research new ways for modeling and predicting end-user behavior.
• Lead investigations into multiple streams of product data.
• Design experiments to answer targeted questions. Conduct exploratory data analysis in high dimensions.

Minimum qualifications:

• BA/BS degree in Statistics or other quantitative disciplines such as Engineering, Applied Mathematics, etc.
• Experience with large data sets using statistical software (R, S-Plus, Matlab, or similar) and large databases (SQL).
• Ability to draw conclusions from data and recommend actions. Willingness to learn new techniques.
• Excellent written and verbal presentation skills.

Preferred qualifications:

• MS or PhD in Statistics or other quantitative disciplines such as Engineering, Applied Mathematics, etc.
• Broad work experience with large data sets.
• Considerable practical experience in quantitative analysis.
• Demonstrated leadership and self-direction. Strong experimental design and analysis skills.
• Specific positions can benefit from experience in one or more of: Operations Research Online advertising, search, commerce Machine Learning Languages such as Python, JavaScript Forecasting, Time-series modeling Proficiency in foreign languages.

For more details about the postion and  to apply, please use the reference MM2082/EurActiv and click here.