Senior Data Scientist, Research, Consumer Shopping
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AI Summary ✨
Requirements:
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
5 years of experience with Experiment Design.
Experience in Stakeholder Management.
Experience in Metrics analysis.
Nice to haves:
Experience with various methods of statistical data analysis and modelling.
Experience in Artificial Intelligence.
Excellent written, verbal communication and people management skills.
What you'll be doing:
Work with data sets, solve difficult, non-routine analysis problems. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations.
Interact cross-functionally with leaders and teams, and work with Engineers and Product Managers to identify opportunities for design and assess improvements for Google products.
Research and develop analysis, forecasting and optimization methods to improve the quality of Google's user facing products.
Build and prototype analysis pipelines to provide insights. Develop understanding of Google data structures and metrics, advocate for changes for product development and business activity.
Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with effective presentation of findings at multiple levels of stakeholders through visual displays of quantitative information.
Perks and benefits:
Opportunity to impact technology used by billions of people every day.
Chance to make discoveries that impact everyone.
Share research and tools to fuel progress in the field.
Regular publication in academic journals, open-source projects, and application of research to Google products.