Product Data Scientist, Google Play

Minimum qualifications:

• Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience
• 3 years of experience with statistical data analysis, data mining, and querying (e.g., SQL).
• 1 year of experience managing analytical projects
  
  

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL).
• Experience in developing new models, methods, analysis, and approaches, as well as in classification and regression, prediction and inferential tasks, training/validation criteria for ML algorithm performance.
• Experience in risk analysis, fraud and abuse, trust and safety.
• Experience developing machine learning models, launch experiments (e.g., A/B Testing), and data infrastructure analytics pipelines.

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

As a Product Data Scientist, you will be working with multiple stakeholders in Fraud and Abuse. You will serve as an analytical expert for partners, using numbers to help them make better decisions. The principal goal of the analyses you will deliver is to drive better product and business decisions. The models, metrics, and tools you develop will serve as a key input in product development and operations decision-making.

You will be responsible for translating data into meaningful interpretations and recommendations, and implement process improvements. You will work collaboratively across Play teams (e.g., Engineering, Product Management, Product Operations) as well as other product teams within Google and cross-functional teams such as Legal, Marketing, and Finance teams.

Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

• Prevent and reduce fraud and abuse via strategic planning, in-production model development, insights, measurement, monitoring, and platform ML capabilities improvement.
• Partner with product management, engineering, and other teams to provide data and product insights that will reduce risk and improve developer and user experience.
• Ensure proper logging and metrics are available for performance measurement, and drive analysis focusing on product features and user experience.
• Develop framework views to measure product success and provide insights at scale, act as a thought partner to produce insights and metrics for technical and business stakeholders.
• Deliver presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.