Senior Research Data Scientist, Ads Insight and Measurement

Google Inc.; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google's Ads Insights and Measurement team seeks a Senior Research Data Scientist to advance measurement science for Search, Display, Apps, TV and YouTube. You will develop and evaluate data-driven methods, collaborate with engineers, analysts and PMs, and translate science into scalable, deployed ad products while focusing on privacy-preserving innovations.

You will lead complex experiments, apply causal inference, and mentor junior scientists, influencing ad measurement and monetization across

Qualifications

• Master's degree in quantitative field.
• 5 years of work experience with analytics and coding or 3 years with PhD.

Responsibilities

• Direct the design and development of innovative measurement methodologies and products, setting the strategic technical direction for Conversion Lift and incrementality measurement.
• Architect and oversee the execution of complex experimental frameworks, including user-level and geo-based randomized controlled trials, to establish causal impact at scale.
• Advance quantitative methods by integrating causal inference, statistical modeling, and machine learning techniques to solve measured challenges.
• Drive scalable analysis pipelines, set technical standards, and mentor data scientists.

Skills

Python

R

SQL

Statistical analysis

Causal inference

Machine learning

Experimental design

Mentoring

Education

Master's degree in Statistics/Data Science/Math/Physics/Economics/OR/Engineering

Tools

None

Job description

Senior Research Data Scientist, Ads Insight and Measurement

corporate_fare Google place Mountain View, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.

Preferred qualifications:

• 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
• Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.
• Experience with causal inference methods such as split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators.
• Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
• Applied experience with machine learning on datasets.

About the job

Google’s advertising measurement team focuses on combining data at scale with formal science to make this possible. Our science helps make advertising useful and delightful to our users, and valuable and results-driven for our advertisers and publishers.

As a part of this team, data scientists bring scientific statistical methods to bear on the challenges of advertising product creation, development and improvement with a deep, data-driven appreciation for the behaviors of the end user and the ecosystem. As a Data Scientist working on Ads Insights and Measurement, you will develop, evaluate and improve the entire range of Google's advertising products including Search, Display, Apps, TV and Video (YouTube). You will collaborate closely with a multi-disciplinary team of engineers, analysts and product managers to develop new science and to translate it into deployed products at scale. You will also play a key role in developing new ideas and methods that drive ad measurement and monetization, including paradigm-shifting ad-measurement science and products for the privacy-preserving future of digital advertising. You will be a key part of building and driving impact on large-scale ad-systems both at Google and in the ad-tech and mar-tech industry as a whole, globally.
In this role, individuals with an interest in understanding consumer behavior, advertising and privacy, a passion for business problems, and an interest in combining data and strategy will grow in the environment. You will be able to leverage their training and skills to leverage data and technology to make business decisions.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

Google’s advertising measurement team focuses on combining data at scale with formal science to make this possible. Our science helps make advertising useful and delightful to our users, and valuable and results-driven for our advertisers and publishers.

As a part of this team, data scientists bring scientific statistical methods to bear on the challenges of advertising product creation, development and improvement with a deep, data-driven appreciation for the behaviors of the end user and the ecosystem. As a Data Scientist working on Ads Insights and Measurement, you will develop, evaluate and improve the entire range of Google's advertising products including Search, Display, Apps, TV and Video (YouTube). You will collaborate closely with a multi-disciplinary team of engineers, analysts and product managers to develop new science and to translate it into deployed products at scale. You will also play a key role in developing new ideas and methods that drive ad measurement and monetization, including paradigm-shifting ad-measurement science and products for the privacy-preserving future of digital advertising. You will be a key part of building and driving impact on large-scale ad-systems both at Google and in the ad-tech and mar-tech industry as a whole, globally.
In this role, individuals with an interest in understanding consumer behavior, advertising and privacy, a passion for business problems, and an interest in combining data and strategy will grow in the environment. You will be able to leverage their training and skills to leverage data and technology to make business decisions.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• Direct the design and development of innovative measurement methodologies and products, setting the strategic technical direction for Conversion Lift and incrementality measurement.
• Architect and oversee the execution of complex experimental frameworks, including both user-level and geo-based randomized controlled trials, to rigorously establish causal impact at scale.
• Advance quantitative methods by integrating causal inference, statistical modeling, and machine learning techniques to solve highly ambiguous and complex measurement challenges.
• Drive the creation of scalable analysis pipelines, setting technical standards for the team and mentoring other data scientists on end-to-end analysis best practices.
• Serve a key technical lead and trusted cross-functional partner, and a mentor to junior data scientists.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.