The Data Scientist, Research role at Google focuses on using analytics to solve product and business problems. The position is part of the Google Ads team, which develops advertising products and analytics tools. The role requires expertise in statistical analysis and coding in SQL, Python, or R. Candidates will work on translating business questions into actionable analyses and models, contributing to the growth of businesses through effective advertising solutions.

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related field, and 3 years of experience in a Data Scientist-related occupation.
• Alternatively, a PhD degree in a relevant field is acceptable.
• Experience in using analytics to solve product or business problems.
• Proficiency in coding in SQL and Python or R.
• Knowledge of experiment design, mathematical optimization, machine learning, or user experience measurement.

• Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
• Use custom data infrastructure or existing data models as appropriate, using specialized knowledge.
• Design and evaluate models to mathematically express and solve defined problems with limited precedent.
• Gather information, business goals, priorities, and organizational context around the questions to answer.
• Extract and compile data across sources using relevant tools and ensure data quality for analysis.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.