Job Detail

Quantitative Analyst Lead, Trust and Safety

Inseriert am: 07.05.2018

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.


With your leadership and professional expertise, you manage a team of analysts, plan project goals and lead the overall strategy for your group. You are a recognized authority in your functional area and develop, organize and launch projects that span engineering and analysis.


Google's brand is only as strong as our users' trust--and their steadfast belief that our guiding principles are what's best for them. Our Trust and Safety team has the critical responsibility of protecting Google's users by ensuring online safety by fighting web abuse and fraud across Google products like Search, Maps, Google Ads and AdSense. On this team, you're a big-picture thinker and strategic leader. You understand the user's point of view and are passionate about using your combined technical, sales and customer service acumen to protect our users. You work globally and cross-functionally with Google developers and Product Managers to navigate challenging online safety situations and handle abuse and fraud cases at Google speed (read: fast!).


The Account Abuse team’s mission is to stop abusers from exploiting the gaps between our products. You are a highly analytical and creative Googlers to join us in uncovering complex abuse issues that sit below the radar today.


You are a strategic leader who possesses the ability to work globally and cross-functionally with several internal stakeholders through effective relationship building, influence and communication. You demonstrate analytical thinking through data-driven decisions. You have the technical know-how, charisma and ability to work with your team to make a big impact.


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.


Responsibilities


  • Partner with cross-functional stakeholders to achieve the team vision and strategy

  • Provide thought leadership for a group of Account Abuse Analysts in an innovative and fast-paced environment.

  • Manage a team of Account Analysts and play a key role in developing the abuse/spam vision and strategy for your particular workflow(s).

  • Lead and participate in special projects/initiatives: innovate and implement large-scale quality improvements, conduct data analyses and making recommendations, troubleshooting technical issues, help drive product requirements and expansion, and evaluate potential impact of new product features.


Qualifications

Minimum qualifications:



  • PhD degree in Statistics, Econometrics, related field or equivalent practical experience.

  • Experience in statistics. Experience working with statistical packages (R, SAS, Stata, MATLAB, etc.) and in datasets (SQL).

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

  • Experience in deriving a set of valid abuse signals from a set of data, summarizing it and deriving conclusions that can facilitate automation and prevention.


Preferred qualifications:



  • Relevant and extensive PhD research or work experience.

  • Experience in directly managing or program managing technical teams e.g. Data Scientists, Quantitative Analysts or Engineering teams.

  • Extensive experience with both classical and Bayesian inference and experimental design principles.

  • Experience in delivering projects that involve multiple stakeholders from different areas (for example: Engineering, Policy, Product) and in multiple offices in different time-zones.

  • Deep interest and aptitude in data, metrics, analysis and trends. Applied knowledge of measurement, statistics and program evaluation.


At Google, we don’t just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.


To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other company location. Google is not responsible for any fees related to unsolicited resumes.

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