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Job Description

Google's YouTube team seeks a Data Scientist in San Bruno, CA (hybrid) to translate business problems into analytical questions, build data driven models, and communicate quantitative solutions to leadership. The role carries a salary range of $164,450 to $211,000 per year and requires a PhD. This position offers the chance to influence products used by millions of users worldwide.

What you get

  • Location: San Bruno, CA (hybrid)
  • Compensation: $164,450 - $211,000 per year
  • Education: PhD required

Responsibilities

  • Collaborate with stakeholders to translate business needs into clear analytical questions, evaluation metrics, and mathematical models.
  • Gather business goals, organizational context, and information regarding existing and upcoming data infrastructure to guide your analysis.
  • Extract and compile large-scale data from multiple sources using SQL, R, and Python.
  • Validate and prepare datasets for analysis by formatting, re-structuring, and ensuring data quality and integrity.
  • Design and evaluate sophisticated models to mathematically solve complex problems with limited precedent. Apply scientific and statistical methods to evaluate and improve Google's products for millions of users worldwide.

Requirements

  • Ph.D. in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics, Operations Research, or a related field.
  • Experience applying statistical or optimization methods to solve business problems.
  • Ability to frame business problems posed by non-quantitative stakeholders into tractable quantitative problems.
  • Presenting and defending quantitative solutions to senior leadership for implementation or to influence the business roadmap.
  • Python or R for statistical analysis and algorithms.
  • Ability to explain statistical concepts (Statistical Hypothesis Testing, Statistical Significance, Causal Inference, Confidence Intervals, Survival Analysis, Advanced Design of Experiments, ML/AI Evaluation) to non-quantitative audiences.

Technologies

  • Python
  • R
  • SQL

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