Minimum qualifications: - Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics or a related field and 1 year of experience in the job offered or in a Business Marketing Data Scientist-related occupation.
- Position requires 1 year of experience in the following: Structured programming with Python or R for data manipulation; Database querying using SQL; Statistical analysis and algorithm execution using software applications; Data extraction, manipulation, and cleaning for exploratory data analysis or extraction and manipulation of large datasets exceeding computer memory; and Explanation of statistical concepts to non-quantitative audiences.
About the jobThe US base salary range for this full-time position is $117,000 - $166,000 15% bonus target equity benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google.
Position reports to the Google office & may allow for a hybrid schedule as per Google policy.
Responsibilities - Extract, compile, and validate data across multiple sources using SQL, Python, or R while adhering to rigorous privacy and quality standards.
- Collaborate with stakeholders to translate complex business goals and organizational context into tractable analysis, evaluation metrics, and statistical models.
- Analyze datasets to identify product gaps, formulate conclusions, and communicate actionable insights to internal teams like engineering and product management.
- Create dashboards, tools, and defined metrics to automate reporting workflows, inform product decisions, and track solution deployments.
- Write and integrate production-ready solution code to resolve technical issues, validate new features, and optimize existing systems. Scale repeatable solutions through comprehensive documentation, best practice guides, tutorials, and ongoing cross-functional implementation support.
