Senior Data Scientist, Product, Google Pay

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📍 place Singapore

Scraped: Today

This role is based in Singapore.

Responsibilities:

  • Understand Google Pay India products and technologies to influence the Product Roadmap with insights and data-motivated recommendations.
  • Partner with leadership to set Objectives and Key Results (OKRs), drive growth, and lead planning, forecasting, and performance reviews across multiple markets.
  • Utilize Generative AI techniques to enhance analytics productivity, automate reporting, and apply causal inference/Eval Frameworks for feature evaluation.
  • Own the end-to-end analytics stack, from defining metrics and building data schemas with engineering teams, to executing experimentation and optimization.
  • Lead global, and multi-market projects with framing solutions to solve data problems and optimize recommendation quality for improved end-user experience.

Minimum qualifications:

  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience.
  • 8 years of experience with using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years work experience with a Master's degree.
  • Experience with experiments and causal analysis with turning insights into product decisions.
  • Experience with leading interactions and communications with executive management.

Preferred qualifications:

  • Experience with working in the payments, online e-commerce or marketplace industry.
  • Experience in driving incrementality study or value estimation through causal methods.
  • Experience as a business/quantitative analyst in e-commerce, payments or financial services environment.
  • Ability to manage and organize work, and structure and lead investigative workstreams, analysis with collaborating for product decisions with Product Manager or Engineers.
  • Ability to work in an unstructured environment with excellent partnership and cross-functional collaboration skills.

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