Business Data Scientist, Growth and Opportunity Marketing

Google•New York, NY

4h•$138,000 - $197,000

About The Position

Google's BizOps team works in small teams on complex business challenges, using data collection and analysis to develop recommendations, communicate them to senior executives, support implementation, and assess impact. Google Marketing connects its technology with users and demonstrates how Google products address user needs. As a Business Data Scientist supporting marketing projects such as the Google Career Certificate, you will lead projects, translate business problems into investigative solutions, and guide the team in implementing data science solutions, improving data, and building models for business insights. You will provide data-driven decisions to support business growth; perform advanced analytics on complex first- and third-party data; establish data infrastructure for user insights; drive experimentation and media measurement initiatives; and lead user segmentation modeling in partnership with the Growth team.

Requirements

Master's degree in a quantitative discipline such as statistics, engineering, or sciences, or equivalent practical experience.
At least 3 years of experience using analytics to solve product or business problems, coding (such as Python, R, or SQL), querying databases, or performing statistical analysis; alternatively, a relevant PhD degree.

Nice To Haves

At least 4 years of experience using analytics to solve product or business problems, coding (such as Python, R, or SQL), querying databases, or performing statistical analysis; alternatively, a relevant PhD degree.
Experience managing end-to-end brand measurement frameworks, including brand lift studies, Marketing Mix Modeling (MMM), or Multi-Touch Attribution (MTA).
Experience with LTV modeling and user segmentation analyses.
Experience querying and manipulating large datasets, particularly in SQL.
Experience with root cause analysis to ensure problems are solved at both tactical and strategic levels.

Responsibilities

Provide support for media strategy, measurement, and optimization using advanced analytics, with a focus on marketing analytics methods and data science.
Improve understanding of customers through user segmentation and cohort exploration; identify and quantify high-lifetime-value customers and help acquire and retain them.
Design and analyze controlled experiments or counterfactual causal inference studies to examine the incremental impact of marketing and go-to-market initiatives.
Build and improve data infrastructure connecting complex first- and third-party user logs to support modeling and analysis.
Work with technical and non-technical stakeholders and communicate business insights from advanced techniques to executives in clear, simple language.