01Overview
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.
- Excellent problem-solving and business judgment skills with the ability to articulate product questions, extract relevant data from large datasets using SQL, BigQuery, or equivalent technologies, and leverage statistical analysis to derive actionable insights.
- Ability to translate the analysis results into actionable business recommendations, with excellent written and verbal communication skills.
About the job
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 Data Scientist, Product, with Geo Data Insights and Analytics (GDIA) Abuse and Risk, you will be working on problems that help us efficiently estimate rare event prevalence using a mix of sampling and advanced statistical techniques.
You will focus on unearthing insights that help us keep maps safe from bad actors as well as how we can deliver a excellent contributor experience to good users. You will utilize a combination of tools including Large Language Models (LLMs), classical machine learning, u .
