Data Scientist - Google

Minimum qualifications:

• Ph.D. in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics, Operations Research, or a related field.
• Position requires: Applying statistical or optimization methods to solve business problems; Framing 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; and Explaining statistical concepts (Statistical Hypothesis Testing, Statistical Significance, Causal Inference, Confidence Intervals, Survival Analysis, Advanced Design of Experiments, ML/AI Evaluation) to non-quantitative audiences.

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.