Product Data Scientist, Risk Quantification
About The Position
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. Our mission is to transform risk management within the company, making it data-driven and quantitative. We provide investigative expertise, objectivity, to solve some of the largest questions on how to address risks facing the company, enabling our partners to make optimal decisions for protecting Alphabet and its Users. The Risk Analytics and Data Science (RADS) team collaborates with risk and control owners across Google to quantify risk and drive data-based decisions. In this role, you will be working closely with cross-functional stakeholders to understand the business decisions they need to make, the limits of the data available, and how to translate their needs into a modeling framework. You will lead these projects end-to-end, building strong relationships with your partners to be able to understand the problems they need to solve and the data they can provide. You will have the chance to autonomously, or with assistance from your team, delineate and define risk analysis issues. This includes converting available information into actionable data and developing and deploying models and risk metrics.
Requirements
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience with a Master's degree).
Nice To Haves
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- Experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, and statistical analysis.
- Excellent communication skills, with an ability to translate complex analysis into clear insights.
Responsibilities
- Partner with stakeholders in Product Management, Engineering and Operation teams to understand their domain and needs for risk analysis.
- Conduct end-to-end model design that includes data gathering and requirements specification, processing, analysis, ongoing deliverables.
- Make recommendations based on data and business context to advance risk and data understanding through each engagement.
- Communicate results and impact of modeling choices to help stakeholders make optimal decisions.
- Apply investigative techniques in novel ways to transform difficult data into useful information.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
