Business Data Scientist, Ads Marketing Analytics

Google•Kirkland, WA

17h•$138,000 - $197,000

About The Position

Google’s BizOps team works in small teams to solve complex business challenges by collecting data, deriving insights, developing recommendations, communicating them to senior executives, supporting implementation, and evaluating impact. Google Ads Marketing helps advertisers succeed with digital marketing. In this role, you will apply data science to accelerate Ads business growth and advance marketing science for customers using Google’s advertising solutions, working cross-functionally with Sales, Marketing, and Product teams. As a Data Scientist on the team, you will perform deep data analytics, drive experimentation and measurement, and advance machine learning modeling to support global marketing programs. You will collaborate with marketers, product managers, data scientists, and engineers to align on key metrics and methodologies. Your analyses will help marketers develop effective programs. You will design, prototype, and build scalable analysis pipelines, execute experimentation, and conduct incrementality measurement to inform decisions across the Ads Marketing lifecycle, from acquisition and onboarding to growth and retention. You will also build investigative frameworks and measurement capabilities, and communicate findings to marketing partners and leadership to inform critical decisions.

Requirements

Master’s degree in a quantitative field such as Statistics, Mathematics, Data Science, Bioinformatics, or Economics, or equivalent practical experience.
At least 3 years of experience in a data science field.
Experience with statistical software such as R, Python, or MATLAB and database languages such as SQL.
Experience using analytics to solve product or business problems, querying databases, or conducting statistical analysis.

Nice To Haves

PhD in Statistics or a related quantitative discipline.
2 years of experience, including statistical data analysis such as generalized linear models, multivariate analysis, clustering or segmentation, and sampling methods.
Experience in controlled experiment design and causal inference methods.
Ability to prioritize requests and partner well in an environment with competing stakeholder demands.
Ability to persuade business stakeholders and communicate analytical insights to non-technical audiences, with willingness to teach others and learn new techniques.
Excellent communication, teamwork, and problem-solving skills.

Responsibilities

Work with large, complex data sets and solve analysis problems using advanced investigative methods, including statistical and machine learning models as needed. Conduct analysis spanning problem formulation, data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
Design and analyze controlled experiments or counterfactual causal inference studies to examine the incremental impact of Ads marketing programs.
Build and iteratively prototype analysis pipelines to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed.
Interact cross-functionally and make business recommendations, such as cost-benefit analyses, forecasting, and experiment analysis. Present findings effectively to stakeholders at multiple levels using visual displays of quantitative information.
Develop and automate reports, and iteratively build and prototype dashboards to provide insights at scale while addressing business priorities.