Business Data Scientist, Marketing

Google Google · Big Tech · New York, NY +3

This role focuses on marketing analytics, driving measurement and optimization programs for Google Marketing. It involves defining problems, developing metrics, extracting data, communicating recommendations, and owning measurement strategies. The role requires expertise in advanced analytics, experimentation, causal inference, and statistical modeling to improve media campaign effectiveness and drive business impact.

What you'd actually do

  1. Provide support in media strategy, measurement and optimization that requires expertise in advanced analytics work, with special focus on applying data science to marketing and meta analysis approaches.
  2. Drive advanced analytics work including experimentation, measurement and modeling.
  3. Identify patterns and behaviors that are effective predictors of performance and critical drivers for a successful media plan.
  4. Develop evaluation frameworks for large-scale models, new metrics, and investigate anomalies.
  5. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods.

Skills

Required

  • analytics
  • Python
  • R
  • SQL
  • statistical analysis
  • causal inference
  • A/B testing
  • statistical modeling
  • machine learning
  • campaign brand or conversion lift measurement
  • media planning
  • digital marketing
  • performance incrementality geo experiments

Nice to have

  • meta analysis
  • automated analytics pipelines
  • audience segmentation
  • propensity modeling
  • Bayesian approaches
  • modeling frameworks

What the JD emphasized

  • advanced analytics work
  • applying data science to marketing
  • meta analysis approaches
  • advanced analytics work
  • experimentation
  • measurement
  • modeling
  • statistical analysis
  • causal inference
  • A/B testing
  • statistical modeling
  • machine learning
  • campaign brand or conversion lift measurement
  • media planning
  • digital marketing
  • performance incrementality geo experiments
  • meta analysis
  • automated analytics pipelines
  • audience segmentation
  • propensity modeling
  • Bayesian approaches
  • modeling frameworks