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Google

Research Data Scientist, Ads Metrics

Google

Published 14 May 2026
Zurich, Switzerland
Full Time
27500 - 275000 people

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Role Highlights

Languages used

Python
SQL

Key skills

Data Analysis
Data Science
Computer Science
Product Management
Operations Research
Statistical Analysis
Statistics
Mathematics
Physics
Economics
Quantitative
PhD
Regression
Forecasting
Inference
Modelling
Search

Tools, Libraries and Frameworks

ADS

Description

The role involves developing mechanisms, experiment designs, evaluation metrics, statistical methods, and analysis libraries to support advertising products. The individual will collaborate with cross-functional partners to identify key business questions and translate them into rigorous analytical frameworks. Responsibilities include architecting end-to-end analysis pipelines and designing complex models to address challenges in retrieval and ranking. The position requires transforming large-scale system telemetry into evidence to support business-critical launches. Additionally, the role entails mentoring junior team members and providing deeper expertise within the relevant technical area.

Required Qualifications and Skills

Candidates must hold a Master's degree in a quantitative field such as Statistics, Mathematics, or Engineering, or possess a PhD. A minimum of three years of work experience using analytics to solve business problems is required, alongside proficiency in coding and database querying. Applicants must demonstrate experience with statistical data analysis, experimental design, and regression analysis. Strong communication skills are necessary to present complex analytical findings to executive stakeholders.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Google

Size

275773

Website

goo.gle

HQ

Mountain View, US

Public/Private

Public Company

Description

At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.

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