Senior Data Scientist, Search Verticals

Google is seeking a Senior Data Scientist for their Search Verticals and International Growth team. This role combines advanced analytics with strategic business impact, focusing on developing sophisticated statistical methods to identify growth opportunities and enhance user experiences across Google Search products.

The position requires expertise in both technical and business domains, where you'll work on everything from GenAI to UI optimization. You'll be responsible for developing and implementing advanced statistical methods, machine learning models, and problem-solving approaches to identify growth opportunities such as emerging user needs, user segmentation, and conversion optimization.

As a Senior Data Scientist, you'll have the autonomy to drive projects from conception to completion, working cross-functionally with various teams and influencing senior leadership. The role involves analyzing complex datasets, designing and validating solutions, and using various data sources including logs, surveys, and human-evaluation methods.

The impact of this role is significant, as you'll be working on products that affect billions of users globally. You'll be part of Google Search's mission to reimagine information access and retrieval while maintaining the platform's universal accessibility and usefulness.

The position offers competitive compensation including a base salary range of $166,000-$244,000, plus bonus, equity, and comprehensive benefits. Google provides an inclusive work environment and is committed to equal opportunity employment, welcoming diverse perspectives and backgrounds.

This role is perfect for candidates who combine strong technical skills in data science and machine learning with business acumen and the ability to influence product strategy. You'll need to be comfortable working with large-scale data sets, have excellent communication skills, and be able to translate complex analytical findings into actionable business insights.

The position requires at least 5 years of relevant experience (or 3 with a PhD) and a master's degree in a quantitative field. You'll be working from either New York or Mountain View, contributing to one of the world's most impactful search platforms while solving challenging technical problems that affect users worldwide.