Overview: The gTech Ads team provides support, media, and technical services across Google's Ads products. This role focuses on using analytics to solve product and business problems, building metrics and data-driven solutions, and partnering with cross-functional teams to improve products and client outcomes.

Responsibilities

Qualifications: This is a Google environment; you will work with Sales, Product and Engineering teams to develop better solutions and support a broad range of customers worldwide.

Develop metrics to track and evaluate solution deployment across teams.
Create dashboards and tools to automate processes, generate reports, and guide product decisions.
Curate and validate data to ensure quality standards are met.
Collaborate with stakeholders to understand the domain, business goals, and data infrastructure context.
Master's degree in a quantitative field with at least 4 years of analytics experience, including coding in Python, R, SQL, data querying, and statistical analysis.
Preferred: 6 years of analytics experience and demonstrated ability to apply analytics to product and business problems.

About the role

Senior Business Data Scientist, gTech Ads – London, United Kingdom (on-site)

Overview: The gTech Ads team provides support, media, and technical services across Google's Ads products. This role focuses on using analytics to solve product and business problems, building metrics and data-driven solutions, and partnering with cross-functional teams to improve products and client outcomes.

Responsibilities

Qualifications: This is a Google environment; you will work with Sales, Product and Engineering teams to develop better solutions and support a broad range of customers worldwide.

Develop metrics to track and evaluate solution deployment across teams.
Create dashboards and tools to automate processes, generate reports, and guide product decisions.
Curate and validate data to ensure quality standards are met.
Collaborate with stakeholders to understand the domain, business goals, and data infrastructure context.
Master's degree in a quantitative field with at least 4 years of analytics experience, including coding in Python, R, SQL, data querying, and statistical analysis.
Preferred: 6 years of analytics experience and demonstrated ability to apply analytics to product and business problems.

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