Product Data Scientist, YouTube Shorts Growth

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 excellence 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.

Our team's mission is protecting billions of Android users from abusive applications, including malware, content abuse, impersonation, and behavioral abuse. Preventing abuse is fascinating technically and it features an adversarial scenario where we try to detect bad actors who try in turn to evade detection. Impact and success translates directly to keeping the Android ecosystem safe and protecting users from a variety of types of abuse.

As a Data Scientist, Research, you will have the unique opportunity to establish the foundation for data-driven decision-making and product innovation, directly impacting the safety of billions of Android users globally. Your day-to-day will involve data research, innovative solution development (such as improving and evaluating machine learning models), system optimization (e.g., enhancing enqueue and queue prioritization), review quality assessment (for both automated and human decisions), and a variety of other impactful projects requiring strong data and statistical acumen. Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.

Responsibilities

• Engage with stakeholders across cross-functional projects and team settings to identify and clarify business or product questions to answer, while providing feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.

• Leverage custom data infrastructure or existing data models as appropriate, using specialized knowledge to design and evaluate models that mathematically express and solve defined problems with limited precedent.

• Work with the engineering and product teams to create new metrics, maintain classifiers, enable insights, and drive data-driven decision making.

• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python), formatting, re-structuring, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

• Support launch decisions through experimental design and analysis.

Qualifications Minimum qualifications:

• Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.

• 5 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 2 years of work experience with a Master's degree.

• Experience with running experiments or experimental design.

Preferred qualifications:

• Experience with distributed computing using R or Python.

• Experience with user funnel analysis or measuring casual to core usage among users.