Data Scientist, Search, Real World Journeys (English, Portuguese)

Data Scientist, Search, Real World Journeys (English, Portuguese) at Google

Company Name: Google

Minimum Qualifications:

Educational Requirements: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. Equivalent practical experience may also be considered.

Work Experience: At least 5 years of experience utilizing analytics to address product or business issues. Proficiency in coding languages such as Python, R, or SQL, and experience in querying databases or performing statistical analysis. Candidates with a PhD degree require 3 years of relevant work experience.

Language Skills: Fluency in English and Portuguese is essential to support client relationship management in this region.

Preferred Qualifications:

Work Experience: A minimum of 8 years in analytics for solving product or business challenges, coding (Python, R, SQL), querying databases, or conducting statistical analysis. Candidates with a PhD need at least 6 years of relevant experience.

About the Job:

In this role, you will collaborate cross-functionally with Engineering, Product, and UX teams to enhance our metric capabilities. You will utilize advanced modeling techniques (e.g., LLM, Gemini models) for machine learning metrics, apply human evaluation methods, and design research grounded in user-survey data. Our responsibilities include metric development, product performance analysis, experiment design, and complex user journey analysis.

As an engineering-focused company, Google seeks individuals with a range of technical skills ready to tackle some of the biggest challenges in technology. From revolutionizing search to developing scalable storage solutions and creating new platforms for developers, Google engineers work on a variety of groundbreaking projects. This includes Google Ads, Chrome, Android, YouTube, and more, each contributing to technological advancements that impact users worldwide.

Responsibilities:

• Partner with Product and Engineering teams on Real World Journeys to provide leadership in problem-solving, metrics research, and advanced statistical analysis of complex user journeys on search.
• Collaborate cross-functionally to identify areas for metric improvement, design new metrics, and develop evaluation methods.
• Support teams with advanced experimentation methods, detect user learning effects, and drive actionable insights from A/B testing metrics analysis.
• Work with large datasets to address non-routine investigative issues, applying problem-solving and statistical methods to measure quality, enhance consumer products, and understand end-user behavior.
• Make product recommendations through effective presentations of findings to stakeholders at multiple levels, using data storytelling techniques.