Job Detail

Minimum qualifications:

• Master's degree in a quantitative discipline or equivalent practical experience.


• Experience working in data analysis or a related field (e.g statistician/data scientist/computational biologist/bioinformatician).

Preferred qualifications:

• PhD in a quantitative discipline.


• Experience in coding (e.g C/C++, Python, Java), databases and querying (e.g SQL, MySQL, MapReduce, Hadoop) and statistical analysis (e.g., R, Stata, SPSS, SAS).


• Experience working with fraud, security and threat analysis in the context of Internet-related products/activities.


• Experience translating analysis results into business recommendations.


• Proficiency in Machine Learning (e.g tools, prepare training sets, train classifiers, etc).


• Ability to draw inferences, quantify uncertainty, risk and recommend actions.

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.

At Google we work hard to earn our users’ trust every day. Gaining and retaining this trust is critically important to Google’s success. We defend Google's integrity by fighting spam, fraud and abuse, and develop and communicate state-of-the-art product policies. The Trust and Safety team reduces risk and protects the experience of our users and business partners in more than 40 languages and across Google's expanding base of products. We work with a variety of teams from Engineering to Legal, Public Policy and Sales Engineering to set policies and combat fraud and abuse in a scalable way, often with an eye to finding industry-wide solutions. Trust and Safety team members are motivated to find innovative solutions, and use technical know-how, user insights and proactive communication to pursue the highest possible quality and safety standards for users across Google products.

• Work with data sets and solve non-routine analytical challenges, applying analytical methods as required. Conduct end-to-end analysis including: data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations.


• Build and prototype analysis pipelines iteratively to provide insights at scale. Develop an understanding of data structures and goals, advocating for changes where needed for both products development and sales activity.


• Interact cross-functionally with a wide variety of teams, and work closely with Engineers to identify opportunities for design.


• Make business recommendations 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.