Data Scientist, Research, Ads Insights Platform, Measurement

BrandFlourish Enterprise

Mountain View, CA

Full Time

Mid Level

141k-202k

11 days ago

Job Description

About the Role

In this role, you will develop, evaluate, and improve Google's advertising products including Search, Display, Apps, TV, and Video (e.g., YouTube). You will collaborate with a multi-disciplinary team of engineers, analysts, and product managers to develop new science and translate it into deployed products. You will also play a role in developing new ideas and methods that drive Ad measurement and generate business. You will be a part of building and driving impact on ad-systems both at Google and in the Advertising Technology and Marketing Technology industry. You will take on modern advertising's tests and make an impact on the global ads ecosystem. You will be trained in quantitative methodologies with knowledge of statistics and causal inference methods, and you will leverage data and technology to make business decisions.

Key Responsibilities

Shape and support privacy-preserving, data-motivated advertising products by collaborating with engineering, product, and customer-facing teams.
Define key advertising questions (e.g., incrementality, privacy impact, user behavior) with multiple teams then develop and implement quantitative solutions.
Design experiments and establish causality using causal inference to assess attribution and answer data-motivated questions.
Analyze datasets to solve testing problems and conduct analysis from data gathering and exploration to model development and present results to stakeholders.
Build analysis pipelines for insights, develop an understanding of Google's data structures, advocating for necessary improvements.

Requirements

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
Experience with data analysis, experimental design, and causal inference methods.

Nice to Have

Master's degree or PhD in Statistics or a related field.
8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of experience with a PhD.
Experience with Deep Learning.
Experience in working on applied data problems in Ads (e.g., bidding, ranking, etc.).

Qualifications

Master's degree in a relevant quantitative field or equivalent practical experience.
3 years of relevant work experience or a PhD with appropriate experience.

Benefits & Perks

US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits.
Additional factors such as work location, skills, experience, and education influence individual pay.
Benefits details are available at Google.

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