Senior Business Data Scientist, Media Lab Marketing at Google | New York City, NY | $163K/yr – $237K/yr

Google

Senior Business Data Scientist, Media Lab Marketing

New York City, NY (On-site)

$163K/yr – $237K/yrSenior Level4+ years expFull time

Posted 2 months ago

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Job Summary

Own the application of advanced analytics to media strategy, measurement, and optimization with a focus on MMMs, collaborating across teams to build data-driven audiences and evaluation frameworks for scalable models.

Drive analytics-enabled media planning,MMM-based measurement, and performance optimization.
Partner with cross-functional teams on experimentation, measurement, and modeling to improve decisioning.
Frame ambiguous problems, scope technical priorities, and innovate on statistical methods to surface actionable insights.

Job Description

Provide support in media strategy, measurement and optimization that require expertise in advanced analytics work, with special focus on marketing mix models (MMMs).
Partner with internal teams in advanced analytics work including experimentation, measurement and modeling.
Identify patterns and behaviors that are effective predictors of performance and critical drivers for a successful media plan.
Deliver customer-centric, data-driven approach, based on a people-based marketing strategy to build, segment, and test audiences for best business results.
Develop evaluation frameworks for large-scale models, new metrics, and investigate anomalies. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods.

Master's degree in a quantitative discipline such as Maths, Economics, Statistics, Engineering, Sciences, or equivalent practical experience.
4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
Experience working with marketing analytics and media data

Experience generating practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders.
Experience with Bayesian approaches and modeling frameworks.
Experience delivering analysis, fully automated analytics pipelines or audience segmentation and propensity modeling.